This is a list of references for papers, reports, patents or other general works that cite one of the DSS Extensions or contain a mention in the full text. Besides this header and some light post-processing, currently it's just a report from a Zotero collection. The list is also available in BibLaTeX format.
If you would like your work added, corrected or even removed from this document, please feel free to open a ticket at https://github.com/dss-extensions/dss-extensions/issues
| Type | Journal Article |
|---|---|
| Author | Ibrahim Anwar Ibrahim |
| Author | M. J. Hossain |
| Abstract | Unbalanced three-phase low-voltage distribution networks (LVDNs) modeling, optimization, and control are essential for enabling high photovoltaic (PV) penetration levels. Accordingly, a new case study is developed to show the gaps and challenges at different PV penetration levels in LVDNs. In this case study, the aim is to provide a better understanding of LVDNs’ behavior in order to support the development and validation of the models and tools. Therefore, a reduction model is proposed to decrease the simulation time by lowering the number of buses in the IEEE European LV Test Feeder, with a negligible error. In addition, an OpenDSS-Julia interface is developed to demonstrate the effects of different PV penetration levels on the inverters’ behavior, active power curtailment, and voltage level in LVDNs. Results are demonstrated concerning several limitations and challenges in using existing smart inverter control techniques, in terms of the inverters’ behavior, active power curtailment, and the voltage level. These limitations and challenges include over-voltage issues using the constant power factor technique, high active power curtailment using the volt–watt technique, and high current flows in the network assets and poor power factors using the volt–var technique. In addition, state-of-the-art system models have not taken-into-account the modeling of uncertainty effects on the performance of PV modules. Similarly, such models have largely ignored the internal and standby losses in the inverter models. These neglected issues may lead to under- or over-estimation of the impacts of PV systems on LVDNs and inaccurate estimations of the network’s ability to accommodate high PV penetration levels. |
| Date | 2022-09-01 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S1364032122004671 |
| Accessed | 4/5/2023, 3:06:14 AM |
| Volume | 166 |
| Pages | 112571 |
| Publication | Renewable and Sustainable Energy Reviews |
| DOI | 10.1016/j.rser.2022.112571 |
| Journal Abbr | Renewable and Sustainable Energy Reviews |
| ISSN | 1364-0321 |
| Type | Journal Article |
|---|---|
| Author | Iochane Garcia Guimarães |
| Author | Daniel Pinheiro Bernardon |
| Author | Vinicius Jacques Garcia |
| Author | Magdiel Schmitz |
| Author | Luciano Lopes Pfitscher |
| Abstract | This paper presents a decision-making model for the dynamic reconfiguration of distribution networks after contingency situations based on formulations of the self-healing problem with islanding. This paper develops a three-stage algorithm. The first stage applies a greedy reconfiguration heuristic, which calculates the criteria values for each viable network configuration in each hour. To address the variety of criteria, the analytic hierarchy process method is applied to define the weights. The second stage addresses the problem statically to reduce the number of configurations and, therefore, the combinations of step 3. In the third stage, the problem is approached dynamically, generating the optimal sequence of topologies for the analyzed period, while considering the time-varying operational conditions of the system. The proposed heuristic significantly reduces the complexity of the problem while minimizing the following criteria: energy not supplied, losses, number of interrupted consumers and switch operations. The physical constraints of the power grid considered in the proposed model are the line limits, protective equipment settings, voltage limits, distributed generators (DG) limits and network radiality. The proposed model is analyzed in different scenarios in the IEEE 123-bus system, modified with the insertion of DGs. The proposed method is compared with a conventional benchmark model. |
| Date | 2021-03-01 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S0378779620307677 |
| Accessed | 4/5/2023, 2:20:10 AM |
| Volume | 192 |
| Pages | 106969 |
| Publication | Electric Power Systems Research |
| DOI | 10.1016/j.epsr.2020.106969 |
| Journal Abbr | Electric Power Systems Research |
| ISSN | 0378-7796 |
| Type | Conference Paper |
|---|---|
| Author | Raju Wagle |
| Author | Gioacchino Tricarico |
| Author | Pawan Sharma |
| Author | Charu Sharma |
| Author | Jose Luis Rueda |
| Author | Francisco Gonzalez-Longatt |
| Abstract | With the rise of integration of renewable energy sources, existing electric power distribution networks are facing a variety of technical obstacles, one of which is modelling of the distribution networks for real-time network monitoring and control. This research designs and analyzes a novel cyber-physical test system for real-time reactive power compensation from smart inverters in the active distribution network using cyber-physical co-simulation between the Typhoon HIL and OpenDSS. The testbed is a two-layer system, with a physical and cybernetic layer. The physical layer is represented by Typhoon HIL 604 and the cybernetic layer is represented by software from Typhoon HIL, OpenDSS, and Python. The cybernetic layer is used to model, design, and control the reactive power from the smart inverter in real-time. The distribution network considered is a CIGRE MV distribution network. Real-time simulation results demonstrate the applicability of the proposed test platform in real-time reactive power control. |
| Date | 2022-12 |
| Library Catalog | IEEE Xplore |
| Pages | 454-459 |
| Proceedings Title | 2022 22nd National Power Systems Conference (NPSC) |
| Conference Name | 2022 22nd National Power Systems Conference (NPSC) |
| DOI | 10.1109/NPSC57038.2022.10069120 |
| Type | Report |
|---|---|
| Author | Karthikeyan Balasubramaniam |
| Abstract | The main motivating factor behind the work is to study the interaction between the transmission and the distribution system in more detail than currently possible. This is particularly important at high PV penetration levels. The developed toolkit allows capturing the coupling between the transmission and the distribution system (T&D) for steady-state and dynamic analysis, thereby furthering our understanding of how the T&D systems interact. One of the objectives of the work is to answer the question, “which analysis require T&D simulation”. To this end, the team held discussions with the utility advisory group (UAG) and identified use cases that are of most interest and studied them in detail. Based on the use cases the team was able to suggest whether the T&D analysis is a necessity for a particular study. The developed techniques, which are documented in detail through publications, are important additions to the literature in power system co-simulation. The publications and the open sourced tools (PFLOW and IGMS) that resulted from this project are highly valuable resources to the researchers in this area. |
| Date | 2019/08/26 |
| Language | English |
| Library Catalog | www.osti.gov |
| URL | https://www.osti.gov/biblio/1756570 |
| Accessed | 4/5/2023, 3:11:59 AM |
| Extra | DOI: 10.2172/1756570 |
| Report Number | ANL-19/29 |
| Institution | Argonne National Lab. (ANL), Argonne, IL (United States) |
| Type | Report |
|---|---|
| Author | Julieta I. Giraldez Miner |
| Author | Anderson F. Hoke |
| Author | Peter Gotseff |
| Author | Nicholas D. Wunder |
| Author | Michael Emmanuel |
| Author | Aadil Latif |
| Author | Earle Ifuku |
| Author | Marc Asano |
| Author | Thomas Aukai |
| Author | Reid Sasaki |
| Author | Michael Blonsky |
| Abstract | This report describes work performed by the Hawaiian Electric Companies and the National Renewable Energy Laboratory (NREL) to model and simulate advanced inverter grid-support functions and to validate and expand on those simulations through a field pilot study. This work builds on earlier research, referred to as the Voltage Regulation Operational Strategies study. The objective of both is to investigate functionalities available in most photovoltaic (PV) inverters to modulate active and reactive power autonomously based on local voltage measurements for the purpose of mitigating off-nominal grid voltage conditions. Specifically of interest are volt/volt-ampere reactive (VAR) control and volt/watt control, the effect of those functions on quasi-steady-state feeder voltages, and the impact of the functions on PV energy production. Because volt/VAR and volt/watt control autonomously adjust inverter output based on local conditions without requiring communication with any other devices, they are good candidates to increase PV hosting capacity when it is limited by voltage constraints in a feeder with very large numbers of PV systems. |
| Date | 2018/10/31 |
| Language | English |
| Short Title | Advanced Inverter Voltage Controls |
| Library Catalog | www.osti.gov |
| URL | https://www.osti.gov/biblio/1481102 |
| Accessed | 4/5/2023, 3:10:48 AM |
| Extra | DOI: 10.2172/1481102 |
| Report Number | NREL/TP-5D00-72298 |
| Institution | National Renewable Energy Lab. (NREL), Golden, CO (United States) |
| Type | Journal Article |
|---|---|
| Author | Bryan Palmintier |
| Language | en |
| Library Catalog | Zotero |
| URL | https://www.nrel.gov/docs/fy19osti/73449.pdf |
| Type | Journal Article |
|---|---|
| Author | Yaswanth Nag Velaga |
| Author | Gayathri Krishnamoorthy |
| Author | Anamika Dubey |
| Author | Aoxia Chen |
| Author | Pankaj K. Sen |
| Abstract | Common practice in transmission and distribution (T&D) systems analysis has been to treat them independently by decoupling those at the point of common coupling (PCC). With the large amount of distributed energy resources (DER) being added in distribution networks, the interactions between T&D systems at PCC produce unacceptable errors. This study discusses an alternate approach for the combined T&D systems analysis using co-simulation technique. The proposed framework couples the analysis of the two systems by iteratively exchanging the power flow variables at the PCC. The approach is implemented for an IEEE 9-bus transmission test system coupled with the IEEE 13-bus distribution test system and the analysis is validated against an equivalent stand-alone combined T&D system model. |
| Date | 2019 |
| Language | en |
| Library Catalog | Wiley Online Library |
| URL | https://onlinelibrary.wiley.com/doi/abs/10.1049/joe.2019.0003 |
| Accessed | 4/5/2023, 2:26:32 AM |
| Extra | _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0003 |
| Volume | 2019 |
| Pages | 8432-8438 |
| Publication | The Journal of Engineering |
| DOI | 10.1049/joe.2019.0003 |
| Issue | 12 |
| ISSN | 2051-3305 |
| Type | Conference Paper |
|---|---|
| Author | Ching Hong Tam |
| Author | Frederik Geth |
| Author | Mithulananthan Nadarajah |
| Abstract | With increasing penetration of distributed energy resources in the distribution network, voltage levels become a concern. However, power flow models for these networks are rare due to the complexity to collect and manage large amounts of feeder data in a way that suits engineering analysis. Unfortunately, even the network model exists, the quality of data may not be high enough for power flow analysis. In this paper, a comprehensive 4-wire low-voltage network is built, starting from reliable topology and approximate sequence impedances, and simulation results are compared to the uncleaned data and a simplified 3-wire representation. Power flow with photovoltaic penetration is also carried out. Results indicate that the improved network data has a higher occurrence of undervoltage situations. Using a 4-wire network with neutral wire can more accurately reflect the influence of neutral-to-ground voltage, even in the presence of frequent grounding. Both undervoltage and overvoltage deteriorate with PV penetration due to neutral voltage fluctuation. |
| Date | 2022-12 |
| Library Catalog | IEEE Xplore |
| Pages | 1-5 |
| Proceedings Title | 2022 IEEE Sustainable Power and Energy Conference (iSPEC) |
| Conference Name | 2022 IEEE Sustainable Power and Energy Conference (iSPEC) |
| DOI | 10.1109/iSPEC54162.2022.10033019 |
| Type | Document |
|---|---|
| Author | Michael Blonsky |
| Date | 2022 |
| URL | https://hdl.handle.net/11124/15401 |
| Publisher | Colorado School of Mines. Arthur Lakes Library |
In the residential sector, there is considerable growth in smart, interactive devices including thermostats, water heaters, electric vehicle chargers, solar panels, and battery systems. These devices can all provide the electric grid with additional flexibility, which is a valuable resource for grid operators and helps reduce system costs and emissions. However, it is difficult to control these devices because there is considerable diversity in the residential housing stock and because the controls depend on stochastic variables such as weather and occupant behavior. We present a stochastic control framework for home energy management systems that can control these devices while accounting for multiple sources of uncertainty. To do this, we first develop an integrated residential energy model that can simulate multiple controllable devices with high resolution and can interface with external controllers. We then design a control framework with a linear residential energy model, a forecast generator that provides realistic estimates of weather and occupancy variables, and a control objective that captures energy costs and occupant comfort. The control framework is used to evaluate the performance of heuristic, deterministic, and stochastic control methods, primarily model predictive control.We show that the stochastic model predictive control performs best in scenarios with realistic levels of uncertainty. We also validate the residential energy models and show the benefits of high-fidelity modeling for building-to-grid co-simulation studies. The results shown in this dissertation provide a deeper understanding of residential load flexibility in uncertain conditions, and the frameworks developed enable future research for evaluating flexible loads in a broad set of applications.
| Type | Journal Article |
|---|---|
| Author | Bilal Saleem |
| Author | Yang Weng |
| Author | Frank M. Gonzales |
| Abstract | The increase in the photovoltaic generation on distribution grids may create problems, such as voltage-violations. To gain situational awareness for system operation, e.g., adjusting the tap-settings of the transformers or adjust capacitor banks, utilities need situational awareness about locations and amounts of photovoltaic powers being generated in different feeders. Unfortunately, many utilities not only lack observability of the distribution grid, e.g., no secondary grid schematics but also have no situational awareness on which feeders solar panels locate. To understand where the solar users are roughly, we propose to use the feeder measurements from utilities with solar panel measurements from third-party solar companies. Due to the property of active correlation detection, we propose several sequentially improved methods based on quantitative association rule mining (QARM), where we also provide a lower bound for performance guarantees based on the amount of available data and the size of the bin for clustering. However, the binning of data leads to information loss. So, we design a band to replace bin for creating a new data mining approach for robustness. We validate our result for the IEEE 4-, 8-, 123-, 8500-bus cases with the Pecan-Street dataset, and also for the IEEE 123-bus case under low/high penetration and with radial/weakly meshed configurations. For realistic validation, we also obtain real data from a utility and a solar power company in the same zip codes in a city of California. Numerical results show accurate associations of feeders and solar panels, leading to increased situational awareness of the secondary distribution grids. |
| Date | 2021-05 |
| Library Catalog | IEEE Xplore |
| Extra | Conference Name: IEEE Transactions on Smart Grid |
| Volume | 12 |
| Pages | 2589-2600 |
| Publication | IEEE Transactions on Smart Grid |
| DOI | 10.1109/TSG.2020.3037756 |
| Issue | 3 |
| ISSN | 1949-3061 |
| Type | Journal Article |
|---|---|
| Author | Nicolas Gensollen |
| Author | Kelsey Horowitz |
| Author | Bryan Palmintier |
| Author | Fei Ding |
| Author | Barry Mather |
| Abstract | This paper presents a graph-based forward looking algorithm applied to distribution planning in the context of distributed photovoltaic penetration. We study the target hosting capacity problem where the objective is to find the least-cost sequence of system upgrades to reach a predefined hosting capacity target value. We show that commonly used short-term cost minimization approaches often lead to suboptimal long-term solutions. By comparing our method against such myopic techniques on real distribution systems, we show that our algorithm is able to reduce the overall integration costs by looking at future decisions. Because hosting capacity is hard to compute, this problem requires efficient methods to search the space. We demonstrate that heuristics using domain-specific knowledge can be efficiently used to improve the algorithm performance, such that real distribution systems can be studied. |
| Date | 2019-07 |
| Short Title | Beyond Hosting Capacity |
| Library Catalog | IEEE Xplore |
| Extra | Conference Name: IEEE Journal of Photovoltaics |
| Volume | 9 |
| Pages | 1051-1056 |
| Publication | IEEE Journal of Photovoltaics |
| DOI | 10.1109/JPHOTOV.2019.2904540 |
| Issue | 4 |
| ISSN | 2156-3403 |
| Type | Journal Article |
|---|---|
| Author | Sri Nikhil Gupta Gourisetti |
| Author | D. Jonathan Sebastian-Cardenas |
| Author | Bishnu Bhattarai |
| Author | Peng Wang |
| Author | Steve Widergren |
| Author | Mark Borkum |
| Author | Alysha Randall |
| Abstract | This paper proposes a reference framework for a transactive energy market based on distributed ledger technology such as blockchain. The framework design was based on the engineering requirements of a distribution-scale market, including participant needs, expected market transactions, and the cybersecurity constructs required to support a fair, secure, and efficient market operation. It leverages the existing blockchain attributes to provide clear value propositions that are applicable to transactive energy market applications. Those attributes are evaluated to not only facilitate the energy market mechanisms but also assist with the cybersecurity requirements, such as access control management (including identification, authentication, and authorization); data security and integrity; and resilience management (decentralization, scalability, and performance during faults). The validity of the proposed framework is demonstrated using a real-time, five-minute double-auction market. The results highlight the framework benefits and provide a strong validation of its applicability to blockchain-based transactive energy systems. The proposed design can help to support machine-to-machine transactions that can be directly integrated into complex grid operations, such as automated market bidding and self-sufficient, resilience-capable grids. |
| Date | 2021-12-15 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S0306261921011831 |
| Accessed | 4/5/2023, 3:14:05 AM |
| Volume | 304 |
| Pages | 117860 |
| Publication | Applied Energy |
| DOI | 10.1016/j.apenergy.2021.117860 |
| Journal Abbr | Applied Energy |
| ISSN | 0306-2619 |
| Type | Patent |
|---|---|
| Inventor | Sri Nikhil Gupta Gourisetti |
| Inventor | Steven E. Widergren |
| Inventor | Michael E. Mylrea |
| Inventor | David J. Sebastian Cardenas |
| Inventor | Mark I. Borkum |
| Inventor | Bishnu P. Bhattarai |
| Inventor | Peng Wang |
| Inventor | Alysha M. Randall |
| Inventor | Hayden M. Reeve |
| URL | https://patents.google.com/patent/US20220179378A1/en |
| Accessed | 4/5/2023, 3:16:44 AM |
| Country | US |
| Assignee | Battelle Memorial Institute Inc |
| Issuing Authority | United States |
| Patent Number | US20220179378A1 |
| Filing Date | 2021-11-29 |
| Application Number | US17537231 |
| Issue Date | 2022-06-09 |
| Type | Journal Article |
|---|---|
| Author | Nadia Panossian |
| Author | Matteo Muratori |
| Author | Bryan Palmintier |
| Author | Andrew Meintz |
| Author | Timothy Lipman |
| Author | Keith Moffat |
| Abstract | Increased charging needs from widespread adoption of battery electric vehicles (EVs) will impact electricity demand. This will likely require a combination of potentially costly distribution infrastructure upgrades and synergistic grid-transportation solutions such as managed charging and strategic charger placement. Fully implementing such strategic planning and control methods—including business models and mechanisms to engage and compensate consumers—can minimize or even eliminate required grid upgrades. Moreover, there are also opportunities for EV charging to support the grid by helping solve existing and emerging distribution system challenges associated with increasing distributed energy resources (DERs) such as solar generation and battery energy storage. This paper reviews the potential impacts of EV charging on electricity distribution systems and describes methods from the literature to efficiently integrate EVs into distribution systems. |
| Date | 2022-06-01 |
| Language | en |
| Library Catalog | Springer Link |
| URL | https://doi.org/10.1007/s40518-022-00201-2 |
| Accessed | 4/5/2023, 3:10:02 AM |
| Volume | 9 |
| Pages | 27-40 |
| Publication | Current Sustainable/Renewable Energy Reports |
| DOI | 10.1007/s40518-022-00201-2 |
| Issue | 2 |
| Journal Abbr | Curr Sustainable Renewable Energy Rep |
| ISSN | 2196-3010 |
| Type | Journal Article |
|---|---|
| Author | Igor Borges de Oliveira Chagas |
| Author | Marcelo Aroca Tomim |
| Abstract | Although co-simulation in power systems has not been widely explored yet, it has been shown to be a powerful tool for dynamic studies, especially with the growth of the insertion of distributed energy resources in electrical networks. In this work, a form of co-simulation based on fictitious transmission lines was proposed. Results show that the co-simulation scenarios coherently reproduce results of a complete system using two co-simulation packages. Computational timings are also reduced. Co-simulation interfacing OpenModelica-generated code and OpenDSS is also discussed. |
| Date | 2022-11-01 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S0378779622005508 |
| Accessed | 4/5/2023, 2:49:09 AM |
| Volume | 212 |
| Pages | 108413 |
| Publication | Electric Power Systems Research |
| DOI | 10.1016/j.epsr.2022.108413 |
| Journal Abbr | Electric Power Systems Research |
| ISSN | 0378-7796 |
| Type | Journal Article |
|---|---|
| Author | Yiyun Yao |
| Author | Fei Ding |
| Author | Kelsey Horowitz |
| Author | Akshay Jain |
| Abstract | High penetrations of distributed photovoltaics (PV) could cause adverse grid impacts, such as voltage violations. The recent development in inverter technologies provides the opportunity to develop control systems to realize effective PV governance, and thus, to improve dynamic PV hosting capacity for distribution grids. In this article, a novel distributed energy resource management system (DERMS) solution is proposed by adopting the real-time optimal power flow approach for coordinated control of the distributed PV inverters. The proposed approach eliminates the dependence on load knowledge via measurement feedback correction, and it can be implemented in real time. One challenge is that the technique is sensitive to the data availability and integrity of voltage measurements. Therefore, a decentralized DERMS approach is developed by leveraging the concepts of state estimation. The framework and the effectiveness of the solution approach are numerically demonstrated on a real distribution feeder in Southern California. |
| Date | 2022-06 |
| Short Title | Coordinated Inverter Control to Increase Dynamic PV Hosting Capacity |
| Library Catalog | IEEE Xplore |
| Extra | Conference Name: IEEE Systems Journal |
| Volume | 16 |
| Pages | 1933-1944 |
| Publication | IEEE Systems Journal |
| DOI | 10.1109/JSYST.2021.3071998 |
| Issue | 2 |
| ISSN | 1937-9234 |
| Type | Thesis |
|---|---|
| Author | David Jonathan Sebastian Cardenas |
| Abstract | Distributed Energy Resources penetration levels continue to increase across distribution networks, producing a wide variety of challenges for system operators. Creating among others, the need for new or improved methods that can manage their output characteristics. This has led to regulatory amendments that are expected to facilitate secure grid operations while continuing to enable increasing levels of Distributed Energy Resources penetration. However, it is still unclear if these systems will behave as intended in the presence of a cyber attack.To address this fundamental question, this work presents a detailed cybersecurity analysis on Distributed Energy Resources and Internet of Things infrastructure, covering a wide variety of angles from assessing device-level vulnerabilities to proposing methods/metrics that can quantify risk at the system-level. In addition, this work introduces two, fully-virtualized cyber-physical testbeds that have been envisioned for cyber-security researchers. It is expected that these software-based tools can aid to develop better, more secure Internet of Things and Distributed Energy Resource-based deployments.Furthermore, methods for ensuring correct operation at the device-level and distribution system-level are presented. In specific, a Trusted Execution Environment solution, which relies on hardware-level process isolation has been developed to provide digital-attestation services on analog inputs. The final contribution of this work is the development of a distributed fail-safe method for managing Volt-Var operations. The proposed method combines local voltage information (from independent agents) and simplified network models to determine the expected voltage output before actually executing the command using consensus-voting techniques. The underlying distributed consensus methods and power models work together to ensure that a final decision not only satisfies traditional power system constraints such as security (correctness) and dependability but also availability and partition tolerance under distributed systems theory. |
| Date | 2021 |
| Library Catalog | ACM Digital Library |
| Extra | AAI28155456 ISBN-13: 9798538110902 |
| Place | USA |
| Type | phd |
| University | Washington State University |
| Type | Conference Paper |
|---|---|
| Author | Raju Wagle |
| Author | Gioacchino Tricarico |
| Author | Pawan Sharma |
| Author | Charu Sharma |
| Author | Jose Luis Rueda |
| Author | Francisco Gonzalez-Lonzatt |
| Abstract | Existing electric power distribution systems are evolving and changing as a result of the high renewable energy sources integration. Hence, future smart distribution networks will involve various technical challenges; one of them is real-time monitoring and controlling the network to operate it effectively and efficiently. This paper develops and analyzes a cyber-physical co-simulation testbed for real-time reactive power control in the smart distribution network. The testbed is a two-layer system, with Typhoon HIL 604 representing the physical layer and the other layer as a cybernetic layer. The cybernetic layer is used to model a test system and control reactive power from smart inverters in real-time. The implementation of real-time reactive power control of smart inverters on a CIGRE MV distribution network is shown in this study. The proposed testbed's usefulness in real-time reactive power control is demonstrated through simulation results. |
| Date | 2022-11 |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 2378-8542 |
| Pages | 11-15 |
| Proceedings Title | 2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) |
| Conference Name | 2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) |
| DOI | 10.1109/ISGTAsia54193.2022.10003553 |
| Type | Conference Paper |
|---|---|
| Author | Xin Fang |
| Author | Mengmeng Cai |
| Author | Anthony Florita |
| Abstract | Energy management of transmission and distribution networks (T&D) is becoming more challenging with the accelerated adoption of distributed energy resources (DERs)-such as distributed photovoltaic generation and battery energy storage systems (BESS)-on the electric grid. To better analyze the impacts of DERs on both transmission and distribution systems, a comprehensive T&D co-simulation platform is developed. Further, with DERs more actively participating in system operation-e.g., by providing real-time grid services-their cyber vulnerability needs to be better understood to maintain system reliability. This paper discusses a cyber-physical events emulation-based T&D co-simulation platform to perform comprehensive cyber events emulations, physical simulation, and analysis of interdependent impacts. Results from the case studies-which show how cyber events on a synthetic distribution network can impact operations on the transmission and distribution network-validate that the proposed T&D cosimulation platform can perform cyber-physical events emulation and produce response in near realtime; therefore, with extensive simulation using the proposed co-simulation platform, the system operators can accumulate adequate training data for system situational awareness of grid anomalies. |
| Date | 2021-07 |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 1944-9933 |
| Pages | 1-5 |
| Proceedings Title | 2021 IEEE Power & Energy Society General Meeting (PESGM) |
| Conference Name | 2021 IEEE Power & Energy Society General Meeting (PESGM) |
| DOI | 10.1109/PESGM46819.2021.9637866 |
| Type | Conference Paper |
|---|---|
| Author | Bruno Cortes |
| Author | Ricardo Torquato |
| Author | Tiago R. Ricciardi |
| Author | Fernanda C. L. Trindade |
| Author | Walmir Freitas |
| Author | Victor B. Riboldi |
| Author | Kunlin Wu |
| Abstract | Recent advances in technology and financial costs reduction are allowing an anticipated insertion of Battery Energy Storage Systems (BESSs) in the low-voltage (LV) distribution systems, especially in customers owning a photovoltaic (PV) generation system. On the other hand, utilities are also installing medium-size BESSs on LV systems to assist in system operation. This massive integration of medium and small-sized BESS into PV-rich LV systems can create adverse impacts on the circuit operation as each BESS can operate with a different control mode, with different control settings. Therefore, since there are distinct control modes of operation, it is necessary to analyze them and how their parametrization and combined operation affect the grid indices. The parametrization and impacts of multiple BESS operating in an LV system are investigated in this paper through quasi-static time series simulations on a real LV gated community network with high PV penetration. The results reveal the need for properly coordinating the operation of the multiple BESS, otherwise, operating indices of the grid may deteriorate significantly. |
| Date | 2022-06 |
| Library Catalog | IEEE Xplore |
| Pages | 0517-0524 |
| Proceedings Title | 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC) |
| Conference Name | 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC) |
| DOI | 10.1109/PVSC48317.2022.9938858 |
| Type | Preprint |
|---|---|
| Author | Chen Feng |
| Author | Andrew L. Lu |
| Author | Yihsu Chen |
| Abstract | Utilizing distributed renewable and energy storage resources via peer-to-peer (P2P) energy trading has long been touted as a solution to improve energy system's resilience and sustainability. Consumers and prosumers (those who have energy generation resources), however, do not have expertise to engage in repeated P2P trading, and the zero-marginal costs of renewables present challenges in determining fair market prices. To address these issues, we propose a multi-agent reinforcement learning (MARL) framework to help automate consumers' bidding and management of their solar PV and energy storage resources, under a specific P2P clearing mechanism that utilizes the so-called supply-demand ratio. In addition, we show how the MARL framework can integrate physical network constraints to realize decentralized voltage control, hence ensuring physical feasibility of the P2P energy trading and paving ways for real-world implementations. |
| Date | 2022-12-28 |
| Library Catalog | arXiv.org |
| URL | http://arxiv.org/abs/2212.14156 |
| Accessed | 4/5/2023, 3:32:02 AM |
| Extra | arXiv:2212.14156 [cs, eess] |
| DOI | 10.48550/arXiv.2212.14156 |
| Repository | arXiv |
| Archive ID | arXiv:2212.14156 |
| Type | Journal Article |
|---|---|
| Author | Sandy Aquino dos Santos |
| Author | Matheus Neves Carvalho |
| Author | Daniel Barbosa |
| Author | Renato José Pino de Araújo |
| Author | Kleber Freire da Silva |
| Abstract | O estudo de novas fontes de geração de energia elétrica, em especial, aquelas que atendam as novas exigências ambientais e sustentáveis é essencial, uma vez que a energia elétrica é fundamental para o desenvolvimento econômico e social. Nesse contexto, a inserção de sistemas fotovoltaicos na rede de distribuição se destaca já que não requer a instalação de grandes subestações ou longas linhas de transmissão. Contudo, devido a sua característica operacional intermitente, é necessário que haja um monitoramento constante da qualidade da energia elétrica para garantir a continuidade e a confiabilidade da energia elétrica nos parâmetros operacionais estabelecidos. Este trabalho propôs demonstrar a construção de uma interface gráfica em python em conjunto com o \textit{software} OpenDSS que contribua futuramente para analises de impacto dos sistemas solares fotovoltaicos na qualidade da energia elétrica, sobretudo tensão de regime permanente. Como prévia realizou-se um estudo simples de caráter demonstrativo de sua potencialidade. |
| Date | 2020 |
| Language | en |
| Library Catalog | www.sba.org.br |
| URL | https://www.sba.org.br/open_journal_systems/index.php/sbse/article/view/2343 |
| Accessed | 4/5/2023, 2:40:51 AM |
| Rights | Copyright (c) 2021 Anais do Simpósio Brasileiro de Sistemas Elétricos |
| Extra | Number: 1 |
| Volume | 1 |
| Publication | Simpósio Brasileiro de Sistemas Elétricos - SBSE |
| DOI | 10.48011/sbse.v1i1.2343 |
| Issue | 1 |
| ISSN | 2177-6164 |
| Type | Journal Article |
|---|---|
| Author | Matthew Deakin |
| Author | Phil C. Taylor |
| Author | Janusz Bialek |
| Author | Wenlong Ming |
| Abstract | Distribution systems will require new cost-effective solutions to provide network capacity and increased flexibility to accommodate Low Carbon Technologies. To address this need, we propose the Hybrid Multi-Terminal Soft Open Point (Hybrid MT-SOP) to efficiently provide distribution system interconnection capacity. Each leg of the Hybrid MT-SOP has an AC/DC converter connected in series with a bank of AC switches (Feeder Selector Switches) to allow the converter to connect to any of the feeders at a node. Asymmetric converter sizing is shown to increase feasible power transfers by up to 50% in the three-terminal case, whilst a conic mixed-integer program is formulated to optimally select the device configuration and power transfers. A case study shows the Hybrid MT-SOP increasing utilization of the converters by more than one third, with a 13% increase in system loss reduction as compared to an equally-sized MT-SOP. |
| Date | 2022-11-01 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S0378779622006289 |
| Accessed | 4/5/2023, 3:37:18 AM |
| Volume | 212 |
| Pages | 108516 |
| Publication | Electric Power Systems Research |
| DOI | 10.1016/j.epsr.2022.108516 |
| Journal Abbr | Electric Power Systems Research |
| ISSN | 0378-7796 |
| Type | Journal Article |
|---|---|
| Author | Akshay Kumar Jain |
| Author | Nitasha Sahani |
| Author | Chen-Ching Liu |
| Abstract | Distributed energy resource management systems (DERMS) are increasingly deployed to manage potential adverse impacts of DERs on distribution feeder voltages. However, communication channels used by DERMS controllers, along with the unmanned substations where they are deployed, provide a target for cyber attackers to cause severe voltage disturbances. The voltage problems can damage equipment, trip inverters, and cause undesirable operations of voltage regulating devices. In this paper, using detailed cyber-physical models, the various cyberattack paths an adversary may use to conduct falsified control command cyberattacks are presented. Robust and fast acting centralized cyber layer and de-centralized inverter intrusion detection are also proposed. This two-tiered system can detect and mitigate these cyberattacks before the power system layer is impacted, even if the DERMS controller itself has been compromised. The cyberattack models and proposed intrusion detection techniques have been validated using IEEE test feeders. |
| Date | 2022-03 |
| Library Catalog | IEEE Xplore |
| Extra | Conference Name: IEEE Transactions on Smart Grid |
| Volume | 13 |
| Pages | 1322-1334 |
| Publication | IEEE Transactions on Smart Grid |
| DOI | 10.1109/TSG.2021.3132848 |
| Issue | 2 |
| ISSN | 1949-3061 |
| Type | Conference Paper |
|---|---|
| Author | P. Fernández-Porras |
| Author | R. González-Solís |
| Author | B. Molina-Guzmán |
| Abstract | Distribution networks are exposed to new challenges due to the evolution of technology, requiring planning engineers to perform studies with greater regularity with more detailed electric models, to improve network decision-making processes. This paper proposes an approach to periodically build, a validated OpenDSS distribution network model for network planning, converting electric elements of Geographic Information System to Common Information Model files, which can be used to feed Distribution System Management and OpenDSS platforms, closing gaps between these two systems. The proposal enables a fast conversion of 100% of a distribution network, reducing time for decision making and giving more robustness to planning studies and further analysis. Simulation results demonstrate the effectiveness of the proposed approach in creating suitable and open-source network models, with high accuracy, for a variety of studies for network planning helping Smart Grid implementation and power quality enhancements. |
| Date | 2021-09 |
| Short Title | Distribution Network Planning for Smart Grids |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 2643-8798 |
| Pages | 1-5 |
| Proceedings Title | 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) |
| Conference Name | 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) |
| DOI | 10.1109/ISGTLatinAmerica52371.2021.9543053 |
| Type | Journal Article |
|---|---|
| Author | Akshay Kumar Jain |
| Author | Kelsey Horowitz |
| Author | Fei Ding |
| Author | Kwami Senam Sedzro |
| Author | Bryan Palmintier |
| Author | Barry Mather |
| Author | Himanshu Jain |
| Abstract | Distributed photovoltaic systems can cause adverse distribution system impacts, including voltage violations at customer locations and thermal overload of lines, transformers, and other equipment resulting from high current. The installed capacity at which violations first occur and above which would require system upgrades is called the hosting capacity. Current static methods for determining hosting capacity tend to either consider infrequent worst-case snapshots in time and/or capture coarse time and spatial resolution. Because the duration of violations cannot be captured with these traditional methods, the metric thresholds used in these studies conservatively use the strictest constraints given in operating standards, even though both worse voltage performance and higher overloads may be temporarily acceptable. However, assessing the full details requires accurately capturing time-dependence, voltage-regulating equipment operations, and performance of advanced controls-based mitigation techniques. In this paper, we propose a dynamic distributed photovoltaic hosting capacity methodology to address these issues by conducting power flow analysis for a full year. A key contribution is the formulation of time aware metrics to take these annual results and identify the hosting capacity. Through a case study, we show that this approach can more fully capture grid impacts of distributed photovoltaic than traditional methods and the dynamic hosting capacity was 60%–200% higher than the static hosting capacity in this case study. |
| Date | 2020-12-15 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S0306261920311351 |
| Accessed | 4/5/2023, 2:55:21 AM |
| Volume | 280 |
| Pages | 115633 |
| Publication | Applied Energy |
| DOI | 10.1016/j.apenergy.2020.115633 |
| Journal Abbr | Applied Energy |
| ISSN | 0306-2619 |
| Type | Conference Paper |
|---|---|
| Author | Lucas Zenichi Terada |
| Author | Juan Camilo López |
| Author | Nataly Bañol Arias |
| Author | Marcos J. Rider |
| Author | Luiz Carlos Pereira da Silva |
| Author | Eduardo P. Lacusta Junior |
| Abstract | The popularization of electric vehicles (electric vehicles (EVs)) is becoming an unstoppable trend in modern society. Thus, efficient simulation tools that can predict the EV operation and deployment are significant assets for charging point operators (CPOs), electric mobility service providers (EMSPs), charging service providers (CSPs) and electricity companies. In this paper, an algorithm for simulating the utilization and availability of public EV charging stations (CSs) has been developed. Based on several EV user features, the proposed algorithm generates realistic scenarios of CS availability, utilization, and impact over the distribution network via AC power flows. Moreover, the impact of considering smart charging (i.e., remote CS power limit control) and price policies is also modeled by the proposed algorithm. With these enhancements, the proposed simulation tool is used to predict the aggregated behavior of a population of EV users within the vicinity of two real distribution feeders. Results show the capacity of the proposed algorithm to generate realistic CS utilization statistics subject to different smart charging and price policies. |
| Date | 2021-09 |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 2643-8798 |
| Pages | 1-5 |
| Proceedings Title | 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) |
| Conference Name | 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) |
| DOI | 10.1109/ISGTLatinAmerica52371.2021.9543029 |
| Type | Conference Paper |
|---|---|
| Author | Lucas Zenichi Terada |
| Author | Juan Camilo López |
| Author | Cindy P. Guzmán |
| Author | Marcos J. Rider |
| Author | Luiz C. P. da Silva |
| Abstract | The worldwide adoption of electric vehicles (EVs) is a trend encouraged by sustainable policies that a growing number of countries are supporting. Consequently, the EV charging market players is a concept that is receiving particular attention, in which the charging station operator (CPO) is the player responsible for the infrastructure of the public EV charging stations (EVCSs). On the other hand, the integration of distributed energy resources (DER) and EVs within the electrical system requires the development of algorithms that allow CPOs to manage renewable energy sources aiming to serve EV charging. Internet of Things (IoT) makes it possible to develop an IoT platform that can help with the integration of a smart charging algorithm with the CPO. In this paper, a characterization of the IoT-middleware DOJOT platform (developed by the Brazilian research center CPqD) combined with two softwares developed under a Brazilian R&D project has been realized. The software under development aims to generate monthly policies for price variation and power limits for EVCSs and to perform smart charging of EVs considering DERs. Additionally, The evaluation was made through the performance of the DOJOT IoT platform and the software according to the number of devices that must be processed, internet connection quality, and multiprocessing. |
| Date | 2022-10 |
| Library Catalog | IEEE Xplore |
| Pages | 1-4 |
| Proceedings Title | 2022 Symposium on Internet of Things (SIoT) |
| Conference Name | 2022 Symposium on Internet of Things (SIoT) |
| DOI | 10.1109/SIoT56383.2022.10070129 |
| Type | Journal Article |
|---|---|
| Author | Bryan Palmintier |
| Author | Tarek Elgindy |
| Author | Carlos Mateo |
| Author | Fernando Postigo |
| Author | Tomás Gómez |
| Author | Fernando de Cuadra |
| Author | Pablo Duenas Martinez |
| Abstract | This paper describes computational, data management, and other experiences developing large-scale, realistic‑but-not-real U.S.-style distribution test systems for the Smart-DS project. These test systems cover entire metropolitan areas and include everything from low-voltage secondaries to sub-transmission for hundreds or thousands of feeders making them as much as three orders of magnitude larger than existing single feeder test systems. Lessons learned with automation and data handling are shared to aid data set users and synthetic test grid creators. |
| Date | 2021-01-01 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S0378779620304685 |
| Accessed | 4/5/2023, 2:29:11 AM |
| Volume | 190 |
| Pages | 106665 |
| Publication | Electric Power Systems Research |
| DOI | 10.1016/j.epsr.2020.106665 |
| Journal Abbr | Electric Power Systems Research |
| ISSN | 0378-7796 |
| Type | Conference Paper |
|---|---|
| Author | Raju Wagle |
| Author | Le Nam Hai Pham |
| Author | Gioacchino Tricarico |
| Author | Pawan Sharma |
| Author | Jose Luis Rueda |
| Author | Francisco Gonzalez-Longatt |
| Abstract | With the rise of the integration of renewable energy sources, the operating characteristics of existing electric power distribution systems are evolving and changing. As a result, the digitalisation of the distribution network is gaining attention for effective real-time monitoring and control. Cyber-Physical cosimulation is one of the options for implementing and testing novel concepts and ideas before actual implementation on the distribution network. Therefore, this paper presents some experiences on the cyber-physical testbed in the distribution network. Moreover, the methodology, possible challenges and mitigation techniques are also presented for a cyber-physical cosimulation testbed of optimal reactive power control in smarter distribution network (SDN). The cyber-physical co-simulation testbed is analysed using a Typhoon HIL 604 and OpenDSS on a CIGRE MV distribution. |
| Date | 2023-03 |
| Library Catalog | IEEE Xplore |
| Pages | 1-5 |
| Proceedings Title | 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East) |
| Conference Name | 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East) |
| DOI | 10.1109/ISGTMiddleEast56437.2023.10078722 |
| Type | Journal Article |
|---|---|
| Author | Jonas Teixeira de Freitas |
| Author | Frederico Gualberto Ferreira Coelho |
| Abstract | Fault localization is a key task on power systems operation and maintenance. When it comes to distribution networks, the problem is especially challenging due to the non-homogeneous characteristics and unique topology of each feeder. This paper presents a method based on gated graph neural network for automatic fault localization on distribution networks. The method aggregates problem data in a graph, where the feeder topology is represented by the graph links and nodes attributes can encapsulate any selected information such as operated devices, electrical characteristics and measurements at the point. The main advantage of the proposed solution is that it is immune to network reconfiguration and allows the use of a single trained model on multiple feeders. An experiment was conducted with faults simulated on 10 different feeders, all of them based on actual distribution feeders. The results shows that the model is able to generalize the correlations learned on training to correctly predict the fault region in most cases, even on a feeder it has not seen before. |
| Date | 2021-10-01 |
| Language | en |
| Library Catalog | Springer Link |
| URL | https://doi.org/10.1007/s00202-021-01223-7 |
| Accessed | 4/5/2023, 2:20:55 AM |
| Volume | 103 |
| Pages | 2259-2266 |
| Publication | Electrical Engineering |
| DOI | 10.1007/s00202-021-01223-7 |
| Issue | 5 |
| Journal Abbr | Electr Eng |
| ISSN | 1432-0487 |
| Type | Conference Paper |
|---|---|
| Author | Kwami Senam A. Sedzro |
| Author | Michael Emmanuel |
| Author | Sherin Ann Abraham |
| Abstract | This paper introduces a novel approach for generating solar photovoltaic (PV) plant deployment scenarios for grid integration planning. The approach guarantees consistency among scenarios of the same deployment by ensuring that higher penetration scenarios contain PV units deployed in lower penetration scenarios. It also constrains the size and spatial distribution of the PV plants and considers three placement types. A case study on a real-world distribution system proves that the precepts of scenario consistency, deployment diversity, and placement are met. The study further investigates the impact of the resulting scenarios via a stochastic hosting capacity analysis. Results indicate that the ratio between PV and load sizes, referred to as the nodal PV penetration factor (NPPF), is a key driver of the grid integration impact. By reducing the NPPF from 5 to 2, the maximum hosting capacity increased by at least 112%. The study also reveals that scenarios under random placement can lead to higher hosting capacity values. |
| Date | 2022-09 |
| Library Catalog | IEEE Xplore |
| Pages | 1-5 |
| Proceedings Title | 2022 IEEE International Conference on Power Systems Technology (POWERCON) |
| Conference Name | 2022 IEEE International Conference on Power Systems Technology (POWERCON) |
| DOI | 10.1109/POWERCON53406.2022.9929337 |
| Type | Thesis |
|---|---|
| Author | Jonas Villela de Souza |
| Date | 2020-2-12 |
| Language | pt |
| Library Catalog | DOI.org (Crossref) |
| URL | https://www.teses.usp.br/teses/disponiveis/18/18154/tde-14122020-150248/ |
| Accessed | 4/5/2023, 2:21:46 AM |
| Extra | DOI: 10.11606/D.18.2020.tde-14122020-150248 |
| Place | São Carlos |
| Type | Mestrado em Sistemas Elétricos de Potência |
| University | Universidade de São Paulo |
| Type | Conference Paper |
|---|---|
| Author | D. Jonathan Sebastian-Cardenas |
| Author | Hussain M. Mustafa |
| Author | Adam Hahn |
| Author | Anurag Srivastava |
| Abstract | In this work, we present a generic co-simulation platform that allows researchers to evaluate and test the effects of communication networks within distribution systems to support analyzing cyber-resilience. The developed set of tools seeks to simplify the exchange of electrical data with external controllers/systems while at the same time offering the ability to evaluate the effects of different communication network architectures and/or events. The proposed solution is built around OpenDSS and Mininet using a python-based wrapper, potentially enabling the integration of third-party libraries with ease. To demonstrate this concept, the paper presents a Modbus-based DER control platform that has been coupled to the IEEE 13 bus system; a cyber-physical system that could be used to assess the cyber-resilience of different volt-var control strategies. Our paper specifically focuses on highlighting the effort-saving features that could be of interest to researchers and developers, potentially reducing the number of resources needed to build such systems from scratch. Finally, this paper represents the first public release of our tool. |
| Date | 2022-09 |
| Short Title | Grid-ViDS |
| Library Catalog | IEEE Xplore |
| Pages | 1-6 |
| Proceedings Title | 2022 Resilience Week (RWS) |
| Conference Name | 2022 Resilience Week (RWS) |
| DOI | 10.1109/RWS55399.2022.9984028 |
| Type | Journal Article |
|---|---|
| Author | Pedro A. V. Pato |
| Author | Fernanda C. L. Trindade |
| Author | Xiaoyu Wang |
| Abstract | The massive and widespread rooftop photovoltaic penetration poses new challenges to Distribution System Operators who may need to deal with over and undervoltage problems in the same feeder. To tackle this issue, this work proposes to use the smart inverters from photovoltaic systems to compensate, in real-time, the exact amount of reactive power demanded by the customers to which they are connected. The proposed strategy does not require expensive and complex communication infrastructure, active power curtailment, or inverters oversizing. With a simple infrastructure, it decreases energy losses and the need for capacitor banks. Time-series power-flow simulations are performed in a real distribution system. The results indicate that the proposed strategy of var compensation mitigates more energy losses and voltage transgression than for the cases in which the smart inverters operate with unity power factor, Volt-Watt, or Volt-var control rules. |
| Date | 2023-04-01 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S0378779623000573 |
| Accessed | 4/5/2023, 3:53:12 AM |
| Volume | 217 |
| Pages | 109168 |
| Publication | Electric Power Systems Research |
| DOI | 10.1016/j.epsr.2023.109168 |
| Journal Abbr | Electric Power Systems Research |
| ISSN | 0378-7796 |
| Type | Report |
|---|---|
| Author | Rafael Viviani Galdino |
| Date | 2021 |
| Language | pt-BR |
| Library Catalog | repositorio.unicamp.br |
| URL | http://repositorio.unicamp.br/acervo/detalhe/1162225?i=1 |
| Accessed | 4/5/2023, 3:54:45 AM |
| Institution | [s.n.] |
| Type | Conference Paper |
|---|---|
| Author | Pedro A. V. Pato |
| Author | Rafael V. Galdino |
| Author | Fernanda C. L. Trindade |
| Author | Caio B. Franchi |
| Author | Rafael A. Rosolen |
| Author | Tuo Ji |
| Abstract | The increased penetration of rooftop PV generators in electric power distribution networks has caused technical problems, such as overvoltage, low power factor, and higher maintenance costs of Volt-var control equipment. This work investigates the potential of modern Volt-var control technologies in mitigating technical issues aggravated by the connection of rooftop PV generators to the distribution systems. The performance of the technologies is assessed in terms of the violation of steady-state voltage and power factor regulatory limits, and the number of operations of controllable devices, which affects maintenance costs. Active power loss is also evaluated to identify how the technology under analysis affects it. The results can be used to guide the utilities in the choice of the most suitable solution (a single or a set of equipment) according to the identified technical problems. |
| Date | 2021-06 |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 0160-8371 |
| Pages | 0123-0129 |
| Proceedings Title | 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC) |
| Conference Name | 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC) |
| DOI | 10.1109/PVSC43889.2021.9518645 |
| Type | Conference Paper |
|---|---|
| Author | Kyle Brady |
| Author | Alexandra von Meier |
| Abstract | Optimal power flow (OPF) problems, which dispatch power targets to controllable generating units across a network, must generally account for non-convex constraints on power flow. Adapting those problems so as to make them solvable with convex optimization techniques is an area of much academic and operational interest. In this paper, we present a method for solving OPF as a quadratic program by iteratively refining and re-initializing a linearized model of power flow based on the outputs of an associated nonlinear solver. The linear model on which we demonstrate this method is an adapted version of an approximation designed for use with unbalanced distribution networks. As an important benefit, the model allows for the explicit inclusion of nodal voltage phasor values in both the OPF problem's objective and its constraints, which opens the door to the idea of phasor-based control (PBC) design. We show in simulations on the IEEE 13-node test feeder that our method quickly converges to a set of phasor targets that are sufficiently precise for use in operations at the distribution level. |
| Date | 2021-04 |
| Library Catalog | IEEE Xplore |
| Pages | 1-6 |
| Proceedings Title | 2020 52nd North American Power Symposium (NAPS) |
| Conference Name | 2020 52nd North American Power Symposium (NAPS) |
| DOI | 10.1109/NAPS50074.2021.9449737 |
| Type | Conference Paper |
|---|---|
| Author | Keith Moffat |
| Author | Alexandra von Meier |
| Abstract | This paper investigates the feedback control challenge of tracking a voltage phasor target at a given node on an unbalanced three phase distribution network. We derive a quasi-steady state system model, modeling the progression of phasors as a martingale and describing the input sensitivity with the linearization of the unbalanced three phase power flow manifold for the Thevenin equivalent circuit. We establish the convexity of the stable linear feedback matrix region, and investigate the stability of Single Input Single Output Phasor Control (SISOPC) with gains chosen based on the reactance of the Thevenin equivalent circuit. To improve upon SISOPC, we propose the Linear Quadratic Phasor Controller (LQPC), which generates a multiple input multiple output linear feedback matrix which takes into account both the network resistance and the mutual impedances that couple the unbalanced three phase injections. We demonstrate the performance of the LQPC using OpenDSS simulations on an unbalanced three phase distribution network, demonstrating the effectiveness of the LQPC. |
| Date | 2021-06 |
| Library Catalog | IEEE Xplore |
| Pages | 1-6 |
| Proceedings Title | 2021 IEEE Madrid PowerTech |
| Conference Name | 2021 IEEE Madrid PowerTech |
| DOI | 10.1109/PowerTech46648.2021.9494835 |
| Type | Journal Article |
|---|---|
| Author | Ignacio Losada Carreño |
| Author | Anna Scaglione |
| Author | Shammya Shananda Saha |
| Author | Daniel Arnold |
| Author | Sy-Toan Ngo |
| Author | Ciaran Roberts |
| Abstract | In this work, we introduce Log(v) 3LPF, a linear power flow solver for unbalanced three-phase distribution systems. Log(v) 3LPF uses a logarithmic transform of the voltage phasor to linearize the AC power flow equations around the balanced case. We incorporate the modeling of ZIP loads, transformers, capacitor banks, switches and their corresponding controls and express the network equations in matrix-vector form. With scalability in mind, special attention is given to the computation of the inverse of the system admittance matrix, Ybus. We use the Sherman-Morrison-Woodbury identity for an efficient computation of the inverse of a rank-k corrected matrix and compare the performance of this method with traditional LU decomposition methods using Big-$\mathcal O$ notation. We showcase the solver for a variety of network sizes, ranging from tens to thousands of nodes, and compare the Log(v) 3LPF with commercial-grade software, such as OpenDSS. |
| Date | 2023-01 |
| Short Title | Log(v) 3LPF |
| Library Catalog | IEEE Xplore |
| Extra | Conference Name: IEEE Transactions on Power Systems |
| Volume | 38 |
| Pages | 100-113 |
| Publication | IEEE Transactions on Power Systems |
| DOI | 10.1109/TPWRS.2022.3166725 |
| Issue | 1 |
| ISSN | 1558-0679 |
| Type | Conference Paper |
|---|---|
| Author | Jonas Villela de Souza |
| Author | Felipe M. dos S. Monteiro |
| Author | Rodrigo B. Otto |
| Author | Mauricio Biczkowski |
| Author | Eduardo N. Asada |
| Abstract | Due to the increasing inclusion of renewable energy sources in the Distribution System (DS), the interest in Energy Storage Systems (ESSs) connected to the network and how to justify the investment has grown. By its attractive features such as fast response and decreasing price, the ESS can be used in various scenarios in the electrical system. Among them, we highlight the profit from the purchase and sale of electricity and the improvement of the voltage profile. The objective of this work is to evaluate the operation of the storage system by using the Multi-objective Evolutionary Particle Swarm Optimization (MEPSO) to perform energy arbitrage and jointly improve the voltage profile of the network. The MEPSO is used to find a set of operational decisions to buy or store energy using the prices of the Day-Ahead Market (DAM) and, within these decisions, to operate the ESS during the Real-Time Market (RTM) hours. The results are promising and evidence that, through the proposed methodology, it is possible to perform energy arbitrage with the improvement of the voltage profile and a low number of charging/discharging cycles. |
| Date | 2020-11 |
| Library Catalog | IEEE Xplore |
| Pages | 1-6 |
| Proceedings Title | 2020 Workshop on Communication Networks and Power Systems (WCNPS) |
| Conference Name | 2020 Workshop on Communication Networks and Power Systems (WCNPS) |
| DOI | 10.1109/WCNPS50723.2020.9263720 |
| Type | Thesis |
|---|---|
| Author | Mariana De Aragao Ribeiro Rodrigues |
| Date | 2021-2-25 |
| Language | pt |
| Library Catalog | DOI.org (Crossref) |
| URL | http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=54970@2 |
| Accessed | 4/5/2023, 6:47:57 AM |
| Extra | DOI: 10.17771/PUCRio.acad.54970 |
| Place | Rio de Janeiro, Brazil |
| Type | MESTRE EM CIÊNCIAS EM ENGENHARIA ELÉTRICA |
| University | PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO |
| Type | Thesis |
|---|---|
| Author | Iochane Garcia Guimarães |
| Abstract | This study presents a decision-making model for the dynamic reconfiguration of distribution networks after contingency situations based on formulations of the selfhealing problem with islanding. This work develops a three-stage algorithm. The first stage applies a greedy reconfiguration heuristic, which calculates the criteria values for each viable network configuration in each hour. To address the variety of criteria, the analytic hierarchy process method is applied to define the weights. The second stage addresses the problem statically to reduce the number of configurations and, therefore, the combinations of step 3. In the third stage, the problem is approached dynamically, generating the optimal sequence of topologies for the analyzed period, while considering the time-varying operational conditions of the system. The proposed heuristic significantly reduces the complexity of the problem while minimizing the following criteria: energy not supplied, losses, number of interrupted consumers and switch operations. The physical constraints of the power grid considered in the proposed model are the line limits, protective equipment settings, voltage limits, distributed generators (DG) limits and network radiality. The proposed model is analyzed in different scenarios in the IEEE 123-bus system, modified with the insertion of DGs. The proposed method is compared with a conventional benchmark model. |
| Date | 2021-01-18 |
| Language | por |
| Library Catalog | repositorio.ufsm.br |
| URL | http://repositorio.ufsm.br/handle/1/23518 |
| Accessed | 4/5/2023, 2:22:57 AM |
| Rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
| Extra | Accepted: 2022-01-12T12:00:00Z Journal Abbreviation: Methodology for partially dynamic electrical energy restoration in distribution systems with the possibility of microgrids island operation |
| Type | Tese |
| University | Universidade Federal de Santa Maria |
| Type | Conference Paper |
|---|---|
| Author | Sushrut Thakar |
| Author | Vijay Vittal |
| Author | Raja Ayyanar |
| Abstract | Unbalanced faults in distribution feeders can impact voltages on the non-faulted phases. This paper models a real-life feeder with a high penetration level of solar photovoltaic (PV) units in detail including the secondary circuits, and shows a large voltage swell in one of the non-faulted phases of the feeder during a single line to ground fault. The voltages seen during this swell are more than 1.2 p.u., which can have detrimental impacts on the connected equipment and can also lead to loss of connected generation. The reason for this voltage swell is found to be the equivalent impedance at the fault location resulting from the ratio of zero and positive sequence cable impedances. It is seen that the connected solar PV units with appropriate control are able to reduce the severity of the voltage swell, especially for higher penetration levels of solar PV considered, but not entirely eliminate it. |
| Date | 2022-07 |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 1944-9933 |
| Pages | 1-5 |
| Proceedings Title | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| Conference Name | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| DOI | 10.1109/PESGM48719.2022.9916858 |
| Type | Journal Article |
|---|---|
| Author | Vinicius Borges Andrade |
| Author | Ulisses C. Paixão Jr |
| Author | Carlos E. Moreira |
| Author | Thiago M. Soares |
| Author | Jonathan M. Tabora |
| Author | Maria Emília de L. Tostes |
| Author | Ubiratan H. Bezerra |
| Author | Bruno S. Albuquerque |
| Author | Luciano Da S. Gouveia |
| Abstract | O presente trabalho utiliza o software OpenDSS para modelar uma rede elétrica de distribuição, capaz de simular o comportamento da rede elétrica e os impactos na qualidade de energia elétrica de acordo com as diferentes topologias de transformadores, cargas e fontes de geração distribuída em que uma rede elétrica pode ser submetida. Como estudo de caso, o artigo utiliza dados reais da rede da Universidade Federal do Pará e a inserção de geradores solar fotovoltaicos em diferentes pontos da rede, como demonstração do impacto na redução da potência ativa, na elevação do nível de tensão e na redução de perdas elétricas de acordo com a inserção da geração distribuída (GD) na rede elétrica estudada. |
| Date | 2020 |
| Language | en |
| Library Catalog | www.sba.org.br |
| URL | https://www.sba.org.br/open_journal_systems/index.php/sbse/article/view/2208 |
| Accessed | 4/5/2023, 2:28:28 AM |
| Rights | Copyright (c) 2021 Anais do Simpósio Brasileiro de Sistemas Elétricos |
| Extra | Number: 1 |
| Volume | 1 |
| Publication | Simpósio Brasileiro de Sistemas Elétricos - SBSE |
| DOI | 10.48011/sbse.v1i1.2208 |
| Issue | 1 |
| ISSN | 2177-6164 |
| Type | Journal Article |
|---|---|
| Author | Andrés Argüello |
| Author | Ricardo Torquato |
| Author | Bárbara Rosado |
| Author | Walmir Freitas |
| Abstract | An important power quality concern of integrating single-phase photovoltaic (PV) generators to low-voltage (LV) residential systems, is their impact on harmonic distortions due to their power electronic-based interface through a voltage source converter (VSC). Unfortunately, most existing single-phase PV models are focused on the analysis of an individual device, and do not provide a modular circuit model that can be directly integrated into a commercial harmonic power flow simulation tool for large-scale power system studies. In response, this paper derives a single-input single-output harmonic model for single-phase PVs that is independent of grid parameters, thus enabling multiple of these devices to be considered simultaneously in system-wide harmonic power flow analyses. The model is validated with electromagnetic transient simulations and then, characterization studies are conducted to determine the expected harmonic impact of these PV generators on a real LV system. Results demonstrate these devices can increase system damping at typical low order harmonics and are unlikely to introduce new resonances at this frequency range. In addition, it is essential to model the VSC controller effect for a more accurate assessment of its harmonic impact. Sensitivity studies reveal how different VSC parameters affect this behavior. |
| Date | 2022 |
| Library Catalog | IEEE Xplore |
| Extra | Conference Name: IEEE Transactions on Energy Conversion |
| Pages | 1-11 |
| Publication | IEEE Transactions on Energy Conversion |
| DOI | 10.1109/TEC.2022.3218980 |
| ISSN | 1558-0059 |
| Type | Journal Article |
|---|---|
| Author | Frederik Geth |
| Author | Thomas Brinsmead |
| Author | Sam West |
| Author | Peter Goldthorpe |
| Author | Brian Spak |
| Author | Gavin Cross |
| Author | Julio Braslavsky |
| Date | 2021-11-25 |
| Language | en-AU |
| Library Catalog | publications.csiro.au |
| URL | https://publications.csiro.au/rpr/pub?pid=csiro:EP2021-2759&expert=false&sb=RECENT&%20frederik&q= |
| Accessed | 4/5/2023, 6:53:43 AM |
| Extra | Publisher: CSIRO |
| DOI | 10.25919/2tas-7213 |
| Type | Preprint |
|---|---|
| Author | Tommaso Bragatto |
| Author | Marco Antonio Bucarelli |
| Author | Federico Carere |
| Author | Massimo Cresta |
| Author | F. M. Gatta |
| Author | Alberto Geri |
| Author | Marco Maccioni |
| Author | Marco Paulucci |
| Author | Parastou Poursoltan |
| Author | Francesca Santori |
| Abstract | The widespread of active Distribution Networks (DN) is encouraging Distribution System Operators (DSO) to increase awareness about the real-time status of the network as well as to actively manage flexible energy resources for improving system performances. In this context, Digital Twin (DT) can be an enabling technology for a low-cost distributed framework that supports DN management. DT in the power system can be exploited taking advantage of the successful experiences in other sectors (e.g., smart manufacturing and building automation). This article presents a real case study of a DT development and its integration with an existing DN. The DT system architecture is based on the recent standards of DT development, main entities are identified and enriched with a set of developed tools that enable near real-time services such as data collection, state estimation and flexibility calculator. The individual performances of the integrated tools and the whole efficiency of DT were tested and validated during one month of continuous operation. During the operation, good service continuity and accuracy performances were reported. Results from the flexibility calculator show the effectiveness of the proposed strategies that can improve the energy efficiency of the DN by increasing local self-consumption of RES production. |
| Date | 2022-12-28 |
| Language | en |
| Short Title | Near Real-Time Analysis of Active Distribution Networks in a Digital Twin Framework |
| Library Catalog | Social Science Research Network |
| URL | https://papers.ssrn.com/abstract=4313581 |
| Accessed | 4/5/2023, 3:22:25 AM |
| Place | Rochester, NY |
| DOI | 10.2139/ssrn.4313581 |
| Genre | SSRN Scholarly Paper |
| Archive ID | 4313581 |
| Type | Conference Paper |
|---|---|
| Author | Felipe B.B. Rolim |
| Author | Vinicius C. Cunha |
| Author | Fernanda C.L. Trindade |
| Abstract | Nowadays, the deployment of smart meters is increasing worldwide. The information provided by this equipment allows vast improvements to grid management. Among the potential applications, the mitigation of non-technical losses is an important benefit for the utilities and the customers. High levels of unknown consumption deteriorate the system operation and increase its costs. Usually, part of the non-technical losses costs is assigned to the customers, and part to the utilities, representing revenue loss and high-energy tariffs. In this scenario, this work investigates the application of smart meters measurements to detect and locate non-technical losses in low voltage systems. The proposed methodology is based on the coefficient of determination evaluation obtained from a multiple linear regression model of the circuit. The study cases show that the method can successfully detect and locate non-technical losses. However, factors as measurements accuracy, resolution, update ratio, desynchronization, and the amount of deviated power affect its performance. |
| Date | 2022-07 |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 1944-9933 |
| Pages | 1-5 |
| Proceedings Title | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| Conference Name | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| DOI | 10.1109/PESGM48719.2022.9917085 |
| Type | Journal Article |
|---|---|
| Author | Michael Blonsky |
| Author | Jeff Maguire |
| Author | Killian McKenna |
| Author | Dylan Cutler |
| Author | Sivasathya Pradha Balamurugan |
| Author | Xin Jin |
| Abstract | Electrification and the growth of distributed energy resources (DERs), including flexible loads, are changing the energy landscape of electric distribution systems and creating new challenges and opportunities for electric utilities. Changes in demand profiles require improvements in distribution system load models, which have not historically accounted for device controllability or impacts on customer comfort. Although building modeling research has focused on these features, there is a need to incorporate them into distribution load models that include DERs and can be used to study grid-interactive buildings. In this paper, we present the Object-oriented, Controllable, High-resolution Residential Energy (OCHRE) model. OCHRE is a controllable thermal-electric residential energy model that captures building thermal dynamics, integrates grid-dependent electrical behavior, contains models for common DERs and end-use loads, and simulates at a time resolution down to 1 minute. It includes models for space heaters, air conditioners, water heaters, electric vehicles, photovoltaics, and batteries that are externally controllable and integrated in a co-simulation framework. Using a proposed zero energy ready community in Colorado, we co-simulate a distribution grid and 498 all-electric homes with a diverse set of efficiency levels and equipment properties. We show that controllable devices can reduce peak demand within a neighborhood by up to 73% during a critical peak period without sacrificing occupant comfort. We also demonstrate the importance of modeling load diversity at a high time resolution when quantifying power and voltage fluctuations across a distribution system. |
| Date | 2021-05-15 |
| Language | en |
| Short Title | OCHRE |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S0306261921002464 |
| Accessed | 4/5/2023, 3:10:30 AM |
| Volume | 290 |
| Pages | 116732 |
| Publication | Applied Energy |
| DOI | 10.1016/j.apenergy.2021.116732 |
| Journal Abbr | Applied Energy |
| ISSN | 0306-2619 |
| Type | Thesis |
|---|---|
| Author | Matija Kereta |
| Abstract | The paper describes the process of optimizing a battery energy storage in a asymmetric distribution network with two uncontrolled distribution energy sources using two programs, OpenDSS and Python. Python was used for optimization, while OpenDSS was used to create a virtual distribution network and as a tool for calculating. In Python, differential evolution was used, an evolutionary strategy with an objective to find global minimum. The function whose global minimum was sought after were total system losses over a period of one day with invervals of one hour. Lower losses in network were achieved, but a more significant result was achieved in the form of more efficient distribution network, considering that the voltage profile of that network was within the limits of set norm. |
| Date | 2021/05/28 |
| Language | hr |
| Library Catalog | repozitorij.unios.hr |
| URL | https://urn.nsk.hr/urn:nbn:hr:200:851425 |
| Accessed | 4/5/2023, 3:04:24 AM |
| Type | info:eu-repo/semantics/masterThesis |
| University | Josip Juraj Strossmayer University of Osijek. Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Department of Electromechanical Engineering. Chair of Fundamentals of Electrical Engineering and Measurements |
| Type | Thesis |
|---|---|
| Author | Kyle Brady |
| Abstract | The advancement of sensing technologies for the power grid has allowed the development of new strategies for the control of distributed energy resources (DERs). In particular, the emergence of phasor measurement units (PMUs) designed for deployment at the distribution level has presented an exciting opportunity. These PMUs have enabled the development of phasor-based control (PBC), a strategy that formulates DER power dispatch in terms of voltage phasor targets to be tracked by local controllers. This dissertation focuses on the optimal power flow (OPF) component of PBC’s supervisory control layer, which has previously been conceptualized and demonstrated in simulation on distribution networks. We expand its applicability to medium-voltage minigrids and micro- grids operating in island mode, networks where PBC has the potential to deliver important benefits. The work is carried out in two stages. After a discussion of PBC and other relevant back- ground topics, we address one of the primary challenges to PBC at the medium voltage level: the need for extreme accuracy in the supervisory controller’s generation of phasor targets. This accuracy is achieved through an adaptation of an iterative OPF methodology that re- fines a linearized model of power flow through successive exchanges with a nonlinear solver. We discuss the changes that were made to both linear model and nonlinear solver, as well as the determination of phasor targets on networks that include tap-changing transformers and other realistic equipment. The accuracy of the adapted iterative method is then shown in simulation. The second stage of the work covers the extension of our OPF implementation to islanded systems. We present a strategy for the treatment of the slack bus used by our nonlinear solver and apply it to several test cases in simulation. We then analyze a specific case in 2 which our iterative solution method fails, and demonstrate the use of a penalty factor in our linearized OPF formulation as a means of overcoming that failure. A full, end-to-end implementation of PBC’s supervisory layer is then proposed and tested on a number of DER distributions at different feeder penetration levels. We end with a presentation of data relevant to instrument-transformer-induced error in PMU measurements. This final portion stands alone from the primary work of the dissertation, but remains highly relevant to PBC. From an experimental deployment of two PMUs measuring an identical distribution-grid voltage, we determine a ratio of the errors induced by their individual potential transformers. Monitoring this quantity over the course of a year allows us to track the drift in those induced errors over time, motivating a discussion of the expected impact of error drift on PBC and the frequency with which transformers will need to be recalibrated in operational settings. |
| Language | en |
| URL | https://digitalassets.lib.berkeley.edu/techreports/ucb/incoming/EECS-2021-233.pdf |
| # of Pages | 77 |
| University | University of California, Berkeley |
| Type | Journal Article |
|---|---|
| Author | Ricardo Torquato |
| Author | Walmir Freitas |
| Author | Fernanda C. L. Trindade |
| Abstract | The massive growth of photovoltaic (PV) generators connected to low voltage (LV) systems is making it impractical for utilities to conduct a detailed technical analysis to approve every connection request. In response, this paper proposes simple equations to quickly estimate the PV hosting capacity on any circuit location without the need to run power flow simulations. By representing all loads and generators as constant current consumption/injection, the superposition theorem can be used to calculate the impact of each new PV on voltage magnitude and current flows. This approach can be used on a first screening assessment to immediately filter out cases that present no risk of technical violations to the circuit. Only connection requests flagged with risk of violation in this initial screening must be analyzed in detail by specialized engineers. Any type of PV connection (single-phase, two-phase, three-phase) in unbalanced multiphase LV systems can be analyzed. Extensive validation studies reveal that this approach is conservative, which makes it safe and reliable for quick first screening analyses. Its estimation errors are between 5% and 18%. Recommendations on how to employ the proposed approach in practice are also presented. |
| Date | 2023-02 |
| Library Catalog | IEEE Xplore |
| Extra | Conference Name: IEEE Transactions on Power Delivery |
| Volume | 38 |
| Pages | 363-375 |
| Publication | IEEE Transactions on Power Delivery |
| DOI | 10.1109/TPWRD.2022.3187273 |
| Issue | 1 |
| ISSN | 1937-4208 |
| Type | Report |
|---|---|
| Author | Adarsh Nagarajan |
| Author | Shibani Ghosh |
| Author | Akshay Kumar Jain |
| Author | Sertac Akar |
| Author | Richard Bryce |
| Author | Michael Emmanuel |
| Author | Timothy Remo |
| Author | Aadil Latif |
| Author | David Palchak |
| Author | Jaquelin Cochran |
| Author | Abhishek Ranjan |
| Author | Naveen Nagpal |
| Abstract | Emerging distributed energy resources (DERs)—such as solar photovoltaics (PV), battery energy storage systems (BESS), and electric vehicles (EVs)—are expected to increase substantially in India in the coming years following policy-driven targets of the Government of India to modernize its electricity system, reduce greenhouse gas emissions (GHGs), and improve air quality. These emerging technologies can pose challenges to distribution utilities, forcing overhauls in planning and operational practices. They can also create challenges in power system infrastructure planning and cause more frequent system operational violations (e.g., network voltage bounds and loading thresholds) if not properly integrated. The impacts on the localized power distribution grid from these emerging technologies manifest in increased infrastructure investments and erratic shifts in demand patterns. These impacts are not yet well understood, and analytic solutions are not readily available. To address these challenges, the National Renewable Energy Laboratory (NREL), in collaboration with BSES Rajdhani Power Ltd. (BRPL), developed an advanced power distribution system impact analysis framework of BRPL’s distribution system. This framework helps analyze the readiness of the power distribution network to accommodate emerging technologies and the potential opportunities they might introduce. The framework has been predominantly set up to evaluate distributed PV, BESS, and EVs. In this collaboration between NREL and BRPL, we developed and evaluated the framework on two distribution feeders in the BRPL territory for various scenarios of BESS and EVs. BESS are evaluated for their effectiveness on the grid to mitigate present and future feeder overloading scenarios, and they are subsequently analyzed for their costs compared to the costs of traditional upgradation measures. Scenarios include assessing the effects of EV density on grid infrastructure upgrades and interlinking EV management with BESS integration. |
| Date | 2020/07/01 |
| Language | English |
| Short Title | Preparing Distribution Utilities for Utility-Scale Storage and Electric Vehicles |
| Library Catalog | www.osti.gov |
| URL | https://www.osti.gov/biblio/1659823 |
| Accessed | 4/5/2023, 3:15:27 AM |
| Extra | DOI: 10.2172/1659823 |
| Report Number | NREL/TP-5D00-75973 |
| Institution | National Renewable Energy Lab. (NREL), Golden, CO (United States) |
| Type | Conference Paper |
|---|---|
| Author | Pedro A. V. Pato |
| Author | Fernanda C. L. Trindade |
| Author | Tiago R. Ricciardi |
| Author | Paulo Meira |
| Author | Walmir Freitas |
| Abstract | In 2021, an average of 5.5 generators were connected every day in Brazilian MV distribution systems, and 98.9% of these generators are photovoltaic. The increased penetration of MV distributed generation has been accompanied by a rise in the workload of utility planning engineers, who must study and propose solutions to enable the connection of every MV generator. In this context, this work proposes a quick first-assessment approach to identify if the required connection can be approved or if further studies are required. The proposed approach focuses on the most restrictive steady-state technical impacts (overvoltage and overload) related to the increased penetration of MV distributed generators. The proposed approach consists of building connection assessment diagrams that can successfully speed up the required analyses and, consequently, decrease person-hour costs. |
| Date | 2022-06 |
| Library Catalog | IEEE Xplore |
| Pages | 0083-0088 |
| Proceedings Title | 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC) |
| Conference Name | 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC) |
| DOI | 10.1109/PVSC48317.2022.9938661 |
| Type | Conference Paper |
|---|---|
| Author | Si Zhang |
| Author | Mingzhi Zhang |
| Author | Rongxing Hu |
| Author | David Lubkeman |
| Author | Yunan Liu |
| Author | Ning Lu |
| Abstract | This paper develops a reinforcement learning (RL) approach to solve a cooperative, multi-agent Volt-Var Control (VVC) problem for high solar penetration distribution systems. The ingenuity of our RL method lies in a novel two-stage progressive training strategy that can effectively improve training speed and convergence of the machine learning algorithm. In Stage 1 (individual training), while holding all the other agents inactive, we separately train each agent to obtain its own optimal VVC actions in the action space: consume, generate, do-nothing. In Stage 2 (cooperative training), all agents are trained again coordinately to share VVC responsibility. Rewards and costs in our RL scheme include (i) a system-level reward (for taking an action), (ii) an agent-level reward (for doing-nothing), and (iii) an agent-level action cost function. This new framework allows rewards to be dynamically allocated to each agent based on their contribution while accounting for the trade-off between control effectiveness and action cost. The proposed methodology is tested and validated in a modified IEEE 123-bus system using realistic PV and load profiles. Simulation results confirm that the proposed approach is robust, and computationally efficient and achieves desirable volt-var control performance under a wide range of operation conditions. |
| Date | 2022-07 |
| Short Title | Reinforcement Learning for Volt- Var Control |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 1944-9933 |
| Pages | 1-5 |
| Proceedings Title | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| Conference Name | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| DOI | 10.1109/PESGM48719.2022.9916659 |
| Type | Journal Article |
|---|---|
| Author | Steven Zhang |
| Author | Daniel May |
| Author | Mustafa Gül |
| Author | Petr Musilek |
| Abstract | Local energy markets are emerging as a tool for coordinating generation, storage, and consumption of energy from distributed resources. In combination with automation, they promise to provide an effective energy management framework that is fair and brings system-level savings. The cooperative–competitive nature of energy markets calls for multi-agent based automation with learning energy trading agents. However, depending on the dynamics of the agent–environment interaction, this approach may yield unintended behavior of market participants. Thus, the design of market mechanisms suitable for reinforcement learning agents must take into account this interplay. This article introduces autonomous local energy exchange (ALEX) as an experimental framework that combines multi-agent learning and double auction mechanism. Participants determine their internal price signals and make energy management decisions through market interactions, rather than relying on predetermined external price signals. The main contribution of this article is examination of compatibility between specific market elements and independent learning agents. Effects of different market properties are evaluated through simulation experiments, and the results are used for determine a suitable market design. The results show that market truthfulness maintains demand-response functionality, while weak budget balancing provides a strong reinforcement signal for the learning agents. The resulting agent behavior is compared with two baselines: net billing and time-of-use rates. The ALEX-based pricing is more responsive to fluctuations in the community net load compared to the time-of-use. The more accurate accounting of renewable energy usage reduced bills by a median 38.8% compared to net billing, confirming the ability to better facilitate demand response. |
| Date | 2022-05-01 |
| Language | en |
| Library Catalog | ScienceDirect |
| URL | https://www.sciencedirect.com/science/article/pii/S2666546822000118 |
| Accessed | 4/5/2023, 3:13:52 AM |
| Volume | 8 |
| Pages | 100150 |
| Publication | Energy and AI |
| DOI | 10.1016/j.egyai.2022.100150 |
| Journal Abbr | Energy and AI |
| ISSN | 2666-5468 |
| Type | Journal Article |
|---|---|
| Author | Yaswanth Nag Velaga |
| Abstract | Over the past century, US electric grid has evolved into an extremely complex and large interconnected grid identified by the National Academy of Engineers (NAE) as the greatest engineering achievement of the century. During that period, the overwhelming accepted principle was “larger or bigger the better”. The AC transmission voltage went up to 765 kV and the individual generating units were in excess of 1,000 MW. This centralized generation model was considered to be efficient and reliable way to operate the grid. This grid continued to serve the nation well. It, however, faced serious challenges with the demands of the 21st century that will require high penetration of renewable energy, environmental impact of large power plants, global warming and climate change, carbon emission and global energy sustainability. New approach had to be taken to adopt the new regulatory policies. Emerging trends such as low-cost natural gas, increased deployment of renewable energy technologies in distribution, and continued evolution of electricity markets are transforming the ways to generate and deliver electricity. Other factors such as environmental policies to reduce the carbon footprint, maximize the energy efficiency by utilizing the distributed based renewable energy generation also influence the future grid structure. Aging infrastructure combined with the growth and the evolving de-centralized model will have significant impact on the future grid’s ability to provide the electricity more efficiently, reliably, with higher resiliency. This dissertation is divided into two parts: (1) to achieve greater resiliency, it proposes an integrated T\&D co-simulation framework that considers the effects of Distributed Energy Resources (DER) in the distribution. (2) to achieve greater reliability, improved system protection is needed at the distribution level that considers the DER affect such as two-way power flow, low fault currents, etc. This dissertation proposes and analyzes the travelling-wave (TW) based protection at the distribution level. Integrated T\&D framework and the TW based protection improves the grid to be more reliable and resilient. |
| Date | 2020 |
| Language | eng |
| Library Catalog | repository.mines.edu |
| URL | https://repository.mines.edu/handle/11124/174148 |
| Accessed | 4/5/2023, 2:38:25 AM |
| Extra | Accepted: 2020-06-07T10:15:02Z Artwork Medium: born digital Interview Medium: born digital Publisher: Colorado School of Mines. Arthur Lakes Library |
| Type | Report |
|---|---|
| Author | Kevin A. Walkowicz |
| Author | Matt Lave |
| Author | Don Scofield |
| Abstract | This presentation discusses a project to determine how plug-in electric vehicles (PEVs) charging at scale in two cities should be managed to avoid negative grid impacts. It also will allow critical strategies and technologies to be developed, and will increase the value for PEV owners, building managers, charge network operators, grid services aggregators, and utilities. |
| Date | 2019/06/17 |
| Language | English |
| Library Catalog | www.osti.gov |
| URL | https://www.osti.gov/biblio/1528854 |
| Accessed | 4/5/2023, 2:45:52 AM |
| Report Number | NREL/PR-5400-73712 |
| Institution | National Renewable Energy Lab. (NREL), Golden, CO (United States) |
| Type | Conference Paper |
|---|---|
| Author | Vinicius C. Cunha |
| Author | Walmir Freitas |
| Author | Surya Santoso |
| Abstract | Smart meters have been deployed for replacing electromechanical energy meters around the world. As these new devices have the capability to transmit information, utilities seek for new applications and functionalities to add value for the new meters. In this context, this paper presents a method for customer rephasing using measurements of active and reactive powers acquired from customers' smart meters. The main purposes of such an application are to reduce feeders' technical losses and voltage unbalance. A representative express feeder from a Brazilian utility is utilized as a test system. Results show that the proposed method can reduce 33% of technical losses and up to 80% of the voltage unbalance in the system. Additionally, the probabilistic assessment shows that the method performance is robust to missing data, e.g., its efficiency is not impacted for cases when reactive power measurements are not available. |
| Date | 2022-07 |
| Library Catalog | IEEE Xplore |
| Extra | ISSN: 1944-9933 |
| Pages | 1-5 |
| Proceedings Title | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| Conference Name | 2022 IEEE Power & Energy Society General Meeting (PESGM) |
| DOI | 10.1109/PESGM48719.2022.9916710 |
| Type | Presentation |
|---|---|
| Presenter | Ognjen B. Kundačina |
| Presenter | Predrag M. Vidović |
| Presenter | Milan R. Petković |
| Abstract | Distribution network reconfiguration, as a part of the distribution management system, plays an important role in increasing the energy efficiency of the distribution network by coordinating the operations of the switches in the distribution network. Dynamic distribution network reconfiguration (DDNR), enabled by the sufficient number of remote switching devices in the distribution network, attempts to find the optimal topologies of the distribution network over the specified time interval. This paper proposes data-driven DDNR based on deep reinforcement learning (DRL). DRL-based DDNR controller aims to minimize the objective function, i.e. active energy losses and the cost of switching manipulations while satisfying the constraints. The following constraints are considered: allowed bus voltages, allowed line apparent powers, a radial network configuration with all buses being supplied, and the maximal allowed number of switching operations. This optimization problem is modelled as a Markov decision process by defining the possible states and actions of the DDNR agent (controller) and rewards that lead the agent to minimize the objective function while satisfying the constraints. Switching operation constraints are modelled by modifying the action space definition instead of including the additional penalty term in the reward function, to increase the computational efficiency. The proposed algorithm was tested on three test examples: small benchmark network, real-life large-scale test system and IEEE 33-bus radial system, and the results confirmed the robustness and scalability of the proposed algorithm. |
| Date | 2022-06-01 |
| Language | en |
| URL | https://doi.org/10.1007/s00202-021-01399-y |
| Accessed | 4/5/2023, 2:57:51 AM |
| Type | Report |
|---|---|
| Author | Bryan Palmintier |
| Author | Meghan Mooney |
| Author | Kelsey Horowitz |
| Author | Sherin Abraham |
| Author | Tarek Elgindy |
| Author | Kwami Sedzro |
| Author | Ben Sigrin |
| Author | Jane Lockshin |
| Author | Brady Cowiestoll |
| Author | Paul Denholm |
| Abstract | The City of Los Angeles has set ambitious goals to transform its electricity supply, aiming to achieve a 100% renewable energy power system by 2045, along with aggressive electrification targets for buildings and vehicles. To reach these goals, and assess the implications for jobs, electricity rates, the environment, and environmental justice, the Los Angeles City Council passed a series of motions directing the Los Angeles Department of Water and Power (LADWP) to determine the technical feasibility and investment pathways of a 100% renewable energy portfolio standard. The Los Angeles 100% Renewable Energy Study (LA100) is a first-of-its-kind objective, rigorous, and science-based power systems analysis to determine what investments could be made to achieve these goals. The LA100 final report is presented as a collection of 12 chapters and an executive summary, each of which is available as an individual download. This chapter summarizes the growth in distribution-connected energy resources and provides a detailed review of impacts to the distribution grid of growth in customer electricity demand, solar, and storage, as well as required distribution grid upgrades and associated costs. |
| Date | 2021/03/24 |
| Language | English |
| Short Title | The Los Angeles 100% Renewable Energy Study (LA100) |
| Library Catalog | www.osti.gov |
| URL | https://www.osti.gov/biblio/1958737 |
| Accessed | 4/5/2023, 3:31:06 AM |
| Extra | DOI: 10.2172/1958737 |
| Report Number | NREL/TP-6A20-85428 |
| Institution | National Renewable Energy Lab. (NREL), Golden, CO (United States) |
| Type | Journal Article |
|---|---|
| Author | Kate Doubleday |
| Author | Andrew Parker |
| Author | Faeza Hafiz |
| Author | Benjamin Irwin |
| Author | Samuel Hancock |
| Author | Shanti Pless |
| Author | Bri-Mathias Hodge |
| Abstract | A modeling framework integrating both building energy modeling and power system modeling is introduced for the design of net zero energy (NZE) districts for the simultaneous selection of both demand-side efficiency measures and supply-side generation technologies. A novel district control scheme is proposed for pursuing NZE on a subhourly basis while mitigating potential grid impacts such as power backfeeding and voltage violations. As a case study, Peña Station NEXT, a new 100-building, mixed-use district on a 1200-node distribution feeder in Denver, Colorado, is modeled in the integrated framework. An exhaustive scenario analysis is conducted for sizing the district's distributed energy resources, considering multiple objectives such as capital cost, net energy import, and equipment violations. When trying to achieve annual NZE, the district incurs frequent operating violations, and achieving NZE on a 15-min basis is also limited by seasonal fluctuations in photovoltaic output, illustrating the need for diverse generation or seasonal storage. As a practical compromise, both annual and 15-min district import can be reduced by ∼78% without significant violations. |
| Date | 2019-05 |
| Library Catalog | aip.scitation.org (Atypon) |
| URL | https://aip.scitation.org/doi/full/10.1063/1.5093917 |
| Accessed | 4/5/2023, 3:07:26 AM |
| Extra | Publisher: American Institute of Physics |
| Volume | 11 |
| Pages | 036301 |
| Publication | Journal of Renewable and Sustainable Energy |
| DOI | 10.1063/1.5093917 |
| Issue | 3 |
| Type | Thesis |
|---|---|
| Author | Yanfeng Qu |
| Author | , Lan Zhiling |
| Author | , Hong Yuan |
| Author | , Li Zuyi |
| Author | , Chen Bo |
| Abstract | To enhance the cyber-resilience and security of the smart grid against malicious attacks and system errors, we present software-defined networking (SDN)-based communication architecture design for smart grid operation. Our design utilizes SDN technology, which improves network manageability, and provides application-oriented visibility and direct programmability, to deploy the multiple SDN-aware applications to enhance grid security and resilience including optimization-based network management to recover Phasor Measurement Unit (PMU) network connectivity and restore power system observability; Flow-based anomaly detection and optimization-based network management to mitigate Manipulation of demand of IoT (MadIoT) attack. We also developed a prototype system in a cyber-physical testbed and conducted extensive evaluation experiments using the IEEE 30-bus system, IEEE 118-bus system, and IIT campus microgrid. |
| Date | 2022 |
| Extra | ISBN: 9798845407900 |
| Place | USA |
| Type | PhD Thesis |
| University | Illinois Institute of Technology |
AAI29261918
| Type | Journal Article |
|---|---|
| Author | C. Birk Jones |
| Author | Matthew Lave |
| Author | William Vining |
| Author | Brooke Marshall Garcia |
| Abstract | An increase in Electric Vehicles (EV) will result in higher demands on the distribution electric power systems (EPS) which may result in thermal line overloading and low voltage violations. To understand the impact, this work simulates two EV charging scenarios (home- and work-dominant) under potential 2030 EV adoption levels on 10 actual distribution feeders that support residential, commercial, and industrial loads. The simulations include actual driving patterns of existing (non-EV) vehicles taken from global positioning system (GPS) data. The GPS driving behaviors, which explain the spatial and temporal EV charging demands, provide information on each vehicles travel distance, dwell locations, and dwell durations. Then, the EPS simulations incorporate the EV charging demands to calculate the power flow across the feeder. Simulation results show that voltage impacts are modest (less than 0.01 p.u.), likely due to robust feeder designs and the models only represent the high-voltage (“primary”) system components. Line loading impacts are more noticeable, with a maximum increase of about 15%. Additionally, the feeder peak load times experience a slight shift for residential and mixed feeders (≈1 h), not at all for the industrial, and 8 h for the commercial feeder. |
| Date | 2021/1 |
| Language | en |
| Library Catalog | www.mdpi.com |
| URL | https://www.mdpi.com/1996-1073/14/6/1688 |
| Accessed | 4/5/2023, 2:48:35 AM |
| Rights | http://creativecommons.org/licenses/by/3.0/ |
| Extra | Number: 6 Publisher: Multidisciplinary Digital Publishing Institute |
| Volume | 14 |
| Pages | 1688 |
| Publication | Energies |
| DOI | 10.3390/en14061688 |
| Issue | 6 |
| ISSN | 1996-1073 |
| Type | Report |
|---|---|
| Author | Joyce McLaren |
| Author | Sherin Abraham |
| Author | Naim Darghouth |
| Author | Sydney Forrester |
| Abstract | This report presents an analytical methodology to identify alternative options to manage interconnection costs and streamline interconnection timelines for distribution system-connected photovoltaic (PV) systems not co-located with load. Specifically, the report details the methodology and results of an analysis that: 1. Identifies potential grid violations that would be induced by a PV system requesting interconnection to a distribution circuit; 2. Identifies multiple technically viable options for mitigating the potential violations, including infrastructure upgrades, downsizing the PV system size, curtailment of PV, and addition of battery energy storage; 3. Defines the required technical operating parameters of the system in order to mitigate all potential violations (the "Operating Envelope"); 4. Compares the economics of each option, from the PV developer's perspective. The analysis supports the ongoing evolution of interconnection standards for combined PV and energy storage systems by providing a methodology to define allowable maximum export limits during each hour. The methodology presented could be used by utilities as part of the interconnection study process, to inform negotiations with DER developers and the drafting of mutually acceptable interconnection agreements. The resulting technical operating parameters could be included as part of the interconnection service agreement (ISA) between the system owner and the utility company. The companion report to this analysis, Gill et al. (2022), details the envisioned framework for the implementation of the technical operating parameters. |
| Date | 2022/03/04 |
| Language | English |
| Short Title | Use of Operating Agreements and Energy Storage to Reduce Photovoltaic Interconnection Costs |
| Library Catalog | www.osti.gov |
| URL | https://www.osti.gov/biblio/1854327 |
| Accessed | 4/5/2023, 2:59:55 AM |
| Extra | DOI: 10.2172/1854327 |
| Report Number | NREL/TP-7A40-80556 |
| Institution | National Renewable Energy Lab. (NREL), Golden, CO (United States) |
| Type | Report |
|---|---|
| Author | Sivasathya Pradha Balamurugan |
| Author | Dylan Cutler |
| Author | Ted Kwasnik |
| Author | Tarek Elgindy |
| Author | Prateek Munankarmi |
| Author | Jeff Maguire |
| Author | Michael Blonsky |
| Author | Shibani Ghosh |
| Author | Rohit Chintala |
| Author | Dane Christensen |
| Abstract | This project is aimed at creating a transactive energy market to address the challenges faced by utility providers when increasing distributed energy resource (DER) adoption in their service area. One major challenge is mitigating export back to the grid during times of excess production. The transactive energy market operates at the distribution level and balances the supply and demand on the feeder, thus maintaining a zero-energy export at the primary feeder head. The market participants in this case are the residential customers on the feeder, who bid into the market. Building controls are then optimized based on the settled price. Market performance was demonstrated in this study by simulating different levels of DER penetration on a selected Pepco feeder. The feeder successfully achieved a zero export while providing cost-effective electricity to the participants, demonstrating that this market design can enable high DER penetration on existing feeders. |
| Date | 2022/05/01 |
| Language | English |
| Library Catalog | www.osti.gov |
| URL | https://www.osti.gov/biblio/1871008 |
| Accessed | 4/5/2023, 2:49:37 AM |
| Extra | DOI: 10.2172/1871008 |
| Report Number | NREL/TP-5500-78673 |
| Institution | National Renewable Energy Lab. (NREL), Golden, CO (United States) |