Pub Date : 2023-11-17DOI: 10.17775/CSEEJPES.2022.01470
Shengwei Liu;Yuanzheng Li;Xuan Liu;Tianyang Zhao;Peng Wang
To enhance the resilience of power systems with offshore wind farms (OWFs), a proactive scheduling scheme is proposed to unlock the flexibility of cloud data centers (CDCs) responding to uncertain spatial and temporal impacts induced by hurricanes. The total life simulation (TLS) is adopted to project the local weather conditions at transmission lines and OWFs, before, during, and after the hurricane. The static power curve of wind turbines (WTs) is used to capture the output of OWFs, and the fragility analysis of transmission-line components is used to formulate the time-varying failure rates of transmission lines. A novel distributionally robust ambiguity set is constructed with a discrete support set, where the impacts of hurricanes are depicted by these supports. To minimize load sheddings and dropping workloads, the spatial and temporal demand response capabilities of CDCs according to task migration and delay tolerance are incorporated into resilient management. The flexibilities of CDC's power consumption are integrated into a two-stage distributionally robust optimization problem with conditional value at risk (CVaR). Based on Lagrange duality, this problem is reformulated into its deterministic counterpart and solved by a novel decomposition method with hybrid cuts, admitting fewer iterations and a faster convergence rate. The effectiveness of the proposed resilient management strategy is verified through case studies conducted on the modified IEEE-RTS 24 system, which includes 4 data centers and 5 offshore wind farms.
{"title":"Resilient Power Systems Operation with Offshore Wind Farms and Cloud Data Centers","authors":"Shengwei Liu;Yuanzheng Li;Xuan Liu;Tianyang Zhao;Peng Wang","doi":"10.17775/CSEEJPES.2022.01470","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.01470","url":null,"abstract":"To enhance the resilience of power systems with offshore wind farms (OWFs), a proactive scheduling scheme is proposed to unlock the flexibility of cloud data centers (CDCs) responding to uncertain spatial and temporal impacts induced by hurricanes. The total life simulation (TLS) is adopted to project the local weather conditions at transmission lines and OWFs, before, during, and after the hurricane. The static power curve of wind turbines (WTs) is used to capture the output of OWFs, and the fragility analysis of transmission-line components is used to formulate the time-varying failure rates of transmission lines. A novel distributionally robust ambiguity set is constructed with a discrete support set, where the impacts of hurricanes are depicted by these supports. To minimize load sheddings and dropping workloads, the spatial and temporal demand response capabilities of CDCs according to task migration and delay tolerance are incorporated into resilient management. The flexibilities of CDC's power consumption are integrated into a two-stage distributionally robust optimization problem with conditional value at risk (CVaR). Based on Lagrange duality, this problem is reformulated into its deterministic counterpart and solved by a novel decomposition method with hybrid cuts, admitting fewer iterations and a faster convergence rate. The effectiveness of the proposed resilient management strategy is verified through case studies conducted on the modified IEEE-RTS 24 system, which includes 4 data centers and 5 offshore wind farms.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 6","pages":"1985-1998"},"PeriodicalIF":7.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322691","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138550280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.17775/CSEEJPES.2021.05480
Luonan Qiu;Tianhao Wen;Yang Liu;Q. H. Wu
This paper proposes an implicit function based open-loop analysis method to detect the subsynchronous resonance(SSR), including asymmetric subsynchronous modal attraction(ASSMA) and asymmetric subsynchronous modal repulsion(ASSMR), of doubly-fed induction generator based wind farms(DFIG-WFs) penetrated power systems. As some important parameters of DFIG-WF are difficult to obtain, reinforcement learning and least squares method are applied to identify those important parameters. By predicting the location of closed-loop subsynchronous oscillation(SSO) modes based on the calculation of partial differentials of characteristic equation, both ASSMA and ASSMR can be found. The proposed method in this paper can select SSO modes which move to the right half complex planes as control parameters change. Besides, the proposed open-loop analysis method is adaptive to parameter uncertainty. Simulation studies are carried out on the 4-machine 11-bus power system to verify properties of the proposed method.
{"title":"Implicit Function Based Open-Loop Analysis Method for Detecting the SSR Using Identified System Parameters","authors":"Luonan Qiu;Tianhao Wen;Yang Liu;Q. H. Wu","doi":"10.17775/CSEEJPES.2021.05480","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2021.05480","url":null,"abstract":"This paper proposes an implicit function based open-loop analysis method to detect the subsynchronous resonance(SSR), including asymmetric subsynchronous modal attraction(ASSMA) and asymmetric subsynchronous modal repulsion(ASSMR), of doubly-fed induction generator based wind farms(DFIG-WFs) penetrated power systems. As some important parameters of DFIG-WF are difficult to obtain, reinforcement learning and least squares method are applied to identify those important parameters. By predicting the location of closed-loop subsynchronous oscillation(SSO) modes based on the calculation of partial differentials of characteristic equation, both ASSMA and ASSMR can be found. The proposed method in this paper can select SSO modes which move to the right half complex planes as control parameters change. Besides, the proposed open-loop analysis method is adaptive to parameter uncertainty. Simulation studies are carried out on the 4-machine 11-bus power system to verify properties of the proposed method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 5","pages":"2016-2026"},"PeriodicalIF":6.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322704","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.17775/CSEEJPES.2023.00230
Chao Ren;Han Yu;Yan Xu;Zhao Yang Dong
This letter proposes a reliable transfer learning (RTL) method for pre-fault dynamic security assessment (DSA) in power systems to improve DSA performance in the presence of potentially related unknown faults. It takes individual discrep-ancies into consideration and can handle unknown faults with incomplete data. Extensive experiment results demonstrate high DSA accuracy and computational efficiency of the proposed RTL method. Theoretical analysis shows RTL can guarantee system performance.
{"title":"Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method","authors":"Chao Ren;Han Yu;Yan Xu;Zhao Yang Dong","doi":"10.17775/CSEEJPES.2023.00230","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.00230","url":null,"abstract":"This letter proposes a reliable transfer learning (RTL) method for pre-fault dynamic security assessment (DSA) in power systems to improve DSA performance in the presence of potentially related unknown faults. It takes individual discrep-ancies into consideration and can handle unknown faults with incomplete data. Extensive experiment results demonstrate high DSA accuracy and computational efficiency of the proposed RTL method. Theoretical analysis shows RTL can guarantee system performance.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"427-431"},"PeriodicalIF":7.1,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.17775/CSEEJPES.2022.08500
Shuo Yan;Junyu Chen;Minghao Wang;Yongheng Yang;Jose M. Rodriguez
This paper presents a comprehensive study on the model predictive control (MPC) of doubly fed induction generators (DFIG) in wind energy conversion systems (WECS); in particular the MPC of the rotor side converter. The general principle of prevalent MPC strategies is discussed to introduce the theoretical framework in the first place. Furthermore, mainstream and high-performance MPC methods of DFIGs have been identified as model predictive current control (MPCC), model predictive torque control (MPTC), and model predictive power control (MPPC). Starting from analyzing dynamic models, these MPC strategies are investigated in terms of operating principles and technical developments. The paper further investigates implementation of MPC strategies in unbalanced grids. Based on the quantitative and qualitative analysis of several case studies, performance of various MPC schemes is compared and their special features are identified. Guidelines for designing MPC strategies of DFIGs in WECS are provided.
{"title":"A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems","authors":"Shuo Yan;Junyu Chen;Minghao Wang;Yongheng Yang;Jose M. Rodriguez","doi":"10.17775/CSEEJPES.2022.08500","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08500","url":null,"abstract":"This paper presents a comprehensive study on the model predictive control (MPC) of doubly fed induction generators (DFIG) in wind energy conversion systems (WECS); in particular the MPC of the rotor side converter. The general principle of prevalent MPC strategies is discussed to introduce the theoretical framework in the first place. Furthermore, mainstream and high-performance MPC methods of DFIGs have been identified as model predictive current control (MPCC), model predictive torque control (MPTC), and model predictive power control (MPPC). Starting from analyzing dynamic models, these MPC strategies are investigated in terms of operating principles and technical developments. The paper further investigates implementation of MPC strategies in unbalanced grids. Based on the quantitative and qualitative analysis of several case studies, performance of various MPC schemes is compared and their special features are identified. Guidelines for designing MPC strategies of DFIGs in WECS are provided.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1085-1104"},"PeriodicalIF":7.1,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246178","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.17775/CSEEJPES.2023.00570
Ali A. Abdel-Aziz;Mohamed A. Elgenedy;Barry W. Williams
Performance of a three-phase shunt active power filter (SAPF) relies on the capability of the controller to track the reference current. Therefore, designing an accurate current controller is crucial to guarantee satisfactory SAPF operation. This paper presents a model predictive current controller (MPCC) for a low-cost, four-switch, shunt active power filter for power quality improvement. A four-switch, B4, converter topology is adopted as an SAPF, hence offering a simple, robust, and low-cost solution. In addition, to further reduce overall cost, only two interfacing filter inductors, instead of three, are used to eliminate switching current ripple. The proposed SAPF model MPCC is detailed for implementation, where simulation and experimental results validate effectiveness of the proposed control algorithm showing a 20% improvement in total harmonic distortion compared with a conventional hysteresis band current controller.
{"title":"Model Predictive Current Control for Low-Cost Shunt Active Power Filter","authors":"Ali A. Abdel-Aziz;Mohamed A. Elgenedy;Barry W. Williams","doi":"10.17775/CSEEJPES.2023.00570","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.00570","url":null,"abstract":"Performance of a three-phase shunt active power filter (SAPF) relies on the capability of the controller to track the reference current. Therefore, designing an accurate current controller is crucial to guarantee satisfactory SAPF operation. This paper presents a model predictive current controller (MPCC) for a low-cost, four-switch, shunt active power filter for power quality improvement. A four-switch, B4, converter topology is adopted as an SAPF, hence offering a simple, robust, and low-cost solution. In addition, to further reduce overall cost, only two interfacing filter inductors, instead of three, are used to eliminate switching current ripple. The proposed SAPF model MPCC is detailed for implementation, where simulation and experimental results validate effectiveness of the proposed control algorithm showing a 20% improvement in total harmonic distortion compared with a conventional hysteresis band current controller.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 4","pages":"1589-1598"},"PeriodicalIF":6.9,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141965776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.17775/CSEEJPES.2022.06390
Wanbin Liu;Shunjiang Lin;Yuerong Yang;Mingbo Liu;Qifeng Li
Calculation of static voltage stability margin (SVSM) of AC/DC power systems with lots of renewable energy sources (RESs) integration requires consideration of uncertain load growth and renewable energy generation output. This paper presents a bi-level optimal power flow (BLOPF) model to identify the worst-case SVSM of an AC/DC power system with line commutation converter-based HVDC and multi-terminal voltage sourced converter-based HVDC transmission lines. Constraints of uncertain load growth's hypercone model and control mode switching of DC converter stations are considered in the BLOPF model. Moreover, uncertain RES output fluctuations are described as intervals, and two three-level optimal power flow (TLOPF) models are established to identify interval bounds of the system worst-case SVSM. The two TLOPF models are both transformed into max-min bi-level optimization models according to independent characteristics of different uncertain variables. Then, transforming the inner level model into its dual form, max-min BLOPF models are simplified to single-level optimization models for direct solution. Calculation results on the modified IEEE-39 bus AC/DC case and an actual large-scale AC/DC case in China indicate correctness and efficiency of the proposed identification method.
{"title":"Identification of the Worst-Case Static Voltage Stability Margin Interval of AC/DC Power System Considering Uncertainty of Renewables","authors":"Wanbin Liu;Shunjiang Lin;Yuerong Yang;Mingbo Liu;Qifeng Li","doi":"10.17775/CSEEJPES.2022.06390","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06390","url":null,"abstract":"Calculation of static voltage stability margin (SVSM) of AC/DC power systems with lots of renewable energy sources (RESs) integration requires consideration of uncertain load growth and renewable energy generation output. This paper presents a bi-level optimal power flow (BLOPF) model to identify the worst-case SVSM of an AC/DC power system with line commutation converter-based HVDC and multi-terminal voltage sourced converter-based HVDC transmission lines. Constraints of uncertain load growth's hypercone model and control mode switching of DC converter stations are considered in the BLOPF model. Moreover, uncertain RES output fluctuations are described as intervals, and two three-level optimal power flow (TLOPF) models are established to identify interval bounds of the system worst-case SVSM. The two TLOPF models are both transformed into max-min bi-level optimization models according to independent characteristics of different uncertain variables. Then, transforming the inner level model into its dual form, max-min BLOPF models are simplified to single-level optimization models for direct solution. Calculation results on the modified IEEE-39 bus AC/DC case and an actual large-scale AC/DC case in China indicate correctness and efficiency of the proposed identification method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"974-987"},"PeriodicalIF":7.1,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246172","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.17775/CSEEJPES.2022.05420
Yucui Wang;Yongbiao Yang;Qingshan Xu
Integrated power-gas systems (IPGS) have developed critical infrastructure in integrated energy systems. Moreover, various extreme weather events with low probability and high risk have seriously affected the stable operation of IPGSs. Due to close interconnectedness through coupling elements between the power system (PS) and natural gas system (NGS) when a disturbance happens in one system, a series of complicated sequences of dependent events may follow in another system. Especially under extreme conditions, this coupling can lead to a dramatic degradation of system performance, resulting in catastrophic failures. Therefore, there is an urgent need to model and evaluate resilience of IPGSs under extreme weather. Following this development trend, an integrated model for resilience evaluation of IPGS is proposed under extreme weather events focusing on windstorms. First, a framework of IPGS is proposed to describe states of the system at different stages under disaster conditions. Furthermore, an evaluation model considering cascading effects is used to quantify the impact of windstorms on NGS and PS. Meanwhile, a Monte Carlo simulation (MCS) technique is utilized to characterize chaotic fault of components. Moreover, time-dependent nodal and system resilience indices for IPGS are proposed to display impacts of windstorms. Numerical results on the IPGS test system demonstrate the proposed methods.
{"title":"Integrated Model for Resilience Evaluation of Power-Gas Systems Under Windstorms","authors":"Yucui Wang;Yongbiao Yang;Qingshan Xu","doi":"10.17775/CSEEJPES.2022.05420","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.05420","url":null,"abstract":"Integrated power-gas systems (IPGS) have developed critical infrastructure in integrated energy systems. Moreover, various extreme weather events with low probability and high risk have seriously affected the stable operation of IPGSs. Due to close interconnectedness through coupling elements between the power system (PS) and natural gas system (NGS) when a disturbance happens in one system, a series of complicated sequences of dependent events may follow in another system. Especially under extreme conditions, this coupling can lead to a dramatic degradation of system performance, resulting in catastrophic failures. Therefore, there is an urgent need to model and evaluate resilience of IPGSs under extreme weather. Following this development trend, an integrated model for resilience evaluation of IPGS is proposed under extreme weather events focusing on windstorms. First, a framework of IPGS is proposed to describe states of the system at different stages under disaster conditions. Furthermore, an evaluation model considering cascading effects is used to quantify the impact of windstorms on NGS and PS. Meanwhile, a Monte Carlo simulation (MCS) technique is utilized to characterize chaotic fault of components. Moreover, time-dependent nodal and system resilience indices for IPGS are proposed to display impacts of windstorms. Numerical results on the IPGS test system demonstrate the proposed methods.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 4","pages":"1427-1440"},"PeriodicalIF":6.9,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246170","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141966185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.17775/CSEEJPES.2023.03480
Hossien Faraji;Reza Hemmati;Pierluigi Siano
In this paper, a DC microgrid (DCMG) integrated with a set of nano-grids (NG) is studied. DCMG exchanges predetermined active and reactive power with the upstream network. DCMG and NGs are coordinately controlled and managed in such a way the exchanged P-Q power with external grid are kept on scheduled level following all events and operating conditions. The proposed control system, in addition to the ability of mutual support between DCMG and NGs, makes NGs support each other in critical situations. On the other hand, in all operating conditions, DCMG not only feeds three-phase loads with time-varying active and reactive power on the grid side but also injects constant active power into the grid. During events, NGs support each other, NGs support DCMG, and DCMG supports NGs. Such control strategies are realized by the proposed control method to increase resilience of the system. For these purposes, all resources and loads in DCMG and NGs are equipped with individual controllers. Then, a central control unit analyzes, monitors, and regularizes performance of individual controllers in DCMG and NGs. Nonlinear simulations show the proposed model can effectively control DCMG and NGs under normal and critical conditions.
本文研究了与一组纳米电网（NG）集成的直流微电网（DCMG）。DCMG 与上游网络交换预定的有功和无功功率。通过对 DCMG 和 NG 进行协调控制和管理，可以在所有事件和运行条件下将与外部电网交换的 P-Q 功率保持在预定水平上。除了 DCMG 和 NG 之间的相互支持能力外，建议的控制系统还能使 NG 在危急情况下相互支持。另一方面，在所有运行条件下，DCMG 不仅向电网侧的三相负载馈送随时间变化的有功和无功功率，还向电网注入恒定的有功功率。在事件发生时，NG 相互支持，NG 支持 DCMG，DCMG 支持 NG。这种控制策略通过建议的控制方法来实现，以提高系统的弹性。为此，DCMG 和 NG 中的所有资源和负载都配备了单独的控制器。然后，中央控制单元对 DCMG 和 NG 中各个控制器的性能进行分析、监控和调节。非线性模拟显示，所提出的模型能在正常和危急情况下有效控制 DCMG 和 NG。
{"title":"Resilence Control of DC Microgrid Integrated with Multi-Nanogrids Considering Connected-Islanded States","authors":"Hossien Faraji;Reza Hemmati;Pierluigi Siano","doi":"10.17775/CSEEJPES.2023.03480","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.03480","url":null,"abstract":"In this paper, a DC microgrid (DCMG) integrated with a set of nano-grids (NG) is studied. DCMG exchanges predetermined active and reactive power with the upstream network. DCMG and NGs are coordinately controlled and managed in such a way the exchanged P-Q power with external grid are kept on scheduled level following all events and operating conditions. The proposed control system, in addition to the ability of mutual support between DCMG and NGs, makes NGs support each other in critical situations. On the other hand, in all operating conditions, DCMG not only feeds three-phase loads with time-varying active and reactive power on the grid side but also injects constant active power into the grid. During events, NGs support each other, NGs support DCMG, and DCMG supports NGs. Such control strategies are realized by the proposed control method to increase resilience of the system. For these purposes, all resources and loads in DCMG and NGs are equipped with individual controllers. Then, a central control unit analyzes, monitors, and regularizes performance of individual controllers in DCMG and NGs. Nonlinear simulations show the proposed model can effectively control DCMG and NGs under normal and critical conditions.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"786-796"},"PeriodicalIF":7.1,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.17775/CSEEJPES.2022.07980
Jorge de la Cruz;Ying Wu;John E. Candelo-Becerra;Juan C. Vásquez;Josep M. Guerrero
Design and selection of advanced protection schemes have become essential for reliable and secure operation of networked microgrids. Various protection schemes that allow correct operation of microgrids have been proposed for individual systems in different topologies and connections. Nevertheless, protection schemes for networked microgrids are still in development, and further research is required to design and operate advanced protection in interconnected systems. Interconnection of these microgrids in different nodes with various interconnection technologies increases fault occurrence and complicates protection operation. This paper aims to point out challenges in developing protection for networked microgrids, potential solutions, and research areas that need to be addressed for their development. First, this article presents a systematic analysis of different microgrid clusters proposed since 2016, including several architectures of networked microgrids, operation modes, components, and utilization of renewable sources, which have not been widely explored in previous review papers. Second, the paper presents a discussion on protection systems currently available for microgrid clusters, current challenges, and solutions that have been proposed for these systems. Finally, it discusses the trend of protection schemes in networked microgrids and presents some conclusions related to implementation.
{"title":"Review of Networked Microgrid Protection: Architectures, Challenges, Solutions, and Future Trends","authors":"Jorge de la Cruz;Ying Wu;John E. Candelo-Becerra;Juan C. Vásquez;Josep M. Guerrero","doi":"10.17775/CSEEJPES.2022.07980","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07980","url":null,"abstract":"Design and selection of advanced protection schemes have become essential for reliable and secure operation of networked microgrids. Various protection schemes that allow correct operation of microgrids have been proposed for individual systems in different topologies and connections. Nevertheless, protection schemes for networked microgrids are still in development, and further research is required to design and operate advanced protection in interconnected systems. Interconnection of these microgrids in different nodes with various interconnection technologies increases fault occurrence and complicates protection operation. This paper aims to point out challenges in developing protection for networked microgrids, potential solutions, and research areas that need to be addressed for their development. First, this article presents a systematic analysis of different microgrid clusters proposed since 2016, including several architectures of networked microgrids, operation modes, components, and utilization of renewable sources, which have not been widely explored in previous review papers. Second, the paper presents a discussion on protection systems currently available for microgrid clusters, current challenges, and solutions that have been proposed for these systems. Finally, it discusses the trend of protection schemes in networked microgrids and presents some conclusions related to implementation.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"448-467"},"PeriodicalIF":7.1,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246175","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08DOI: 10.17775/CSEEJPES.2022.06880
Chiebuka Eyisi;Qifeng Li
This paper investigates integration of distributed energy resources (DERs) in microgrids (MGs) through two-stage power conversion structures consisting of DC-DC boost converter and DC-AC voltage source converter (VSC) subsystems. In contrast to existing investigations that treated DC-link voltage as an ideal constant voltage, this paper considers the non-ideal dynamic coupling between both subsystems for completeness and higher accuracy, which introduces additional DC-side dynamics to the VSC. The analysis shows parameters of the boost converter's power model that impact stability through the DC-link. Carefully selecting these parameters can mitigate this effect on stability and improve dynamic performance across the DC-link. Hence, an optimization framework is developed to facilitate in selecting adequate boost converter parameters in designing a stable voltage source converter-based microgrid (VSC-MG). The developed optimization framework, based on particle swarm optimization, considers dynamic coupling between both subsystems and is also effective in avoiding inadequate boost converter parameters capable of propagating instability through the DC-link to the VSC. Simulations are performed with MATLAB/Simulink to validate theoretical analyses.
{"title":"Analysis and Optimization of Boost Converter Parameters in Internal Model Control for Voltage Source Converter-Based AC Microgrids","authors":"Chiebuka Eyisi;Qifeng Li","doi":"10.17775/CSEEJPES.2022.06880","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06880","url":null,"abstract":"This paper investigates integration of distributed energy resources (DERs) in microgrids (MGs) through two-stage power conversion structures consisting of DC-DC boost converter and DC-AC voltage source converter (VSC) subsystems. In contrast to existing investigations that treated DC-link voltage as an ideal constant voltage, this paper considers the non-ideal dynamic coupling between both subsystems for completeness and higher accuracy, which introduces additional DC-side dynamics to the VSC. The analysis shows parameters of the boost converter's power model that impact stability through the DC-link. Carefully selecting these parameters can mitigate this effect on stability and improve dynamic performance across the DC-link. Hence, an optimization framework is developed to facilitate in selecting adequate boost converter parameters in designing a stable voltage source converter-based microgrid (VSC-MG). The developed optimization framework, based on particle swarm optimization, considers dynamic coupling between both subsystems and is also effective in avoiding inadequate boost converter parameters capable of propagating instability through the DC-link to the VSC. Simulations are performed with MATLAB/Simulink to validate theoretical analyses.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 5","pages":"2038-2054"},"PeriodicalIF":6.9,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10246138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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