Pub Date : 2023-11-17DOI: 10.17775/CSEEJPES.2022.07170
Yang Liu;Zhongyang Chen;Huanjin Yao;Lin Yi;Q. H. Wu
This paper proposes a critical clearing time (CCT) estimation method by the domain of attraction (DA) of a state-reduction model of power systems using sum of squares (SOS) programming. By exploiting the property of the Jacobian matrix and the structure of the boundary of the DA, it is found the DA of the state-reduction model and that of the full model of a power system are topological isomorphism. There are one-to-one correspondence relationships between the number of equilibrium points, the type of equilibrium points, and solutions of the two system models. Based on these findings, an expanding interior algorithm is proposed with SOS programming to estimate the DA of the state-reduction model. State trajectories of the full model can be transformed to those of the state-reduction model by orthogonal or equiradius projection. In this way, CCT of a grid fault is estimated with the DA of the state-reduction model. The calculational burden of SOS programming in the DA estimation using the state-reduction model is rather small compared with using the full model. Simulation results show the proposed expanding interior algorithm is able to provide a tight estimation of DA of power systems with higher accuracy and lower time costs.
本文通过电力系统状态还原模型的吸引域（DA），利用平方和（SOS）编程法提出了一种临界清除时间（CCT）估算方法。利用雅各布矩阵的性质和吸引域边界的结构，发现状态还原模型的吸引域和电力系统完整模型的吸引域是拓扑同构的。两个系统模型的平衡点数量、平衡点类型和解之间存在一一对应关系。基于这些发现，提出了一种利用 SOS 编程估计状态还原模型 DA 的扩展内部算法。完整模型的状态轨迹可以通过正交或等半径投影转换为状态还原模型的轨迹。这样，网格故障的 CCT 就可以通过状态还原模型的 DA 进行估算。与使用完整模型相比，使用状态还原模型估算 DA 时的 SOS 编程计算负担较小。仿真结果表明，所提出的扩展内部算法能够以更高的精度和更低的时间成本提供电力系统 DA 的精确估算。
{"title":"Estimating Critical Clearing Time of Grid Faults Using DA of State-Reduction Model of Power Systems","authors":"Yang Liu;Zhongyang Chen;Huanjin Yao;Lin Yi;Q. H. Wu","doi":"10.17775/CSEEJPES.2022.07170","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07170","url":null,"abstract":"This paper proposes a critical clearing time (CCT) estimation method by the domain of attraction (DA) of a state-reduction model of power systems using sum of squares (SOS) programming. By exploiting the property of the Jacobian matrix and the structure of the boundary of the DA, it is found the DA of the state-reduction model and that of the full model of a power system are topological isomorphism. There are one-to-one correspondence relationships between the number of equilibrium points, the type of equilibrium points, and solutions of the two system models. Based on these findings, an expanding interior algorithm is proposed with SOS programming to estimate the DA of the state-reduction model. State trajectories of the full model can be transformed to those of the state-reduction model by orthogonal or equiradius projection. In this way, CCT of a grid fault is estimated with the DA of the state-reduction model. The calculational burden of SOS programming in the DA estimation using the state-reduction model is rather small compared with using the full model. Simulation results show the proposed expanding interior algorithm is able to provide a tight estimation of DA of power systems with higher accuracy and lower time costs.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":7.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322716","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351490","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.2022.02140
Dan Wang;Deyu Huang;Qing'e Hu;Hongjie Jia;Bo Liu;Yang Lei
With development of integrated energy systems and energy markets, transactive energy has received increasing attention from society and academia, and realization of energy distribution and integrated demand response through market transactions has become a current research hotspot. Research on optimized operation of a distributed energy station as a regional energy supply center is of great significance for improving flexibility and reliability of the system. Based on retail-side energy trading market, this study first establishes a framework of combined electric and heating energy markets and analyses a double auction market mechanism model of interconnected distributed energy stations. This study establishes a mechanism model of energy market participants, and establishes the electric heating combined market-clearing model to maximize global surplus considering multi-energy storage. Finally, in the case study, a typical user energy consumption scenario in winter is selected, showing market-clearing results and demand response effects on a typical day. Impact of transmission line constraints, energy supply equipment capacity, and other factors on clearing results and global surplus are compared and analyzed, verifying the effects of the proposed method on improving global surplus, enhancing interests of market participants and realizing coordination and optimal allocation of both supply and demand resources through energy complementarity between regions.
{"title":"Electricity-Heat-Based Integrated Demand Response Considering Double Auction Energy Market with Multi-Energy Storage for Interconnected Areas","authors":"Dan Wang;Deyu Huang;Qing'e Hu;Hongjie Jia;Bo Liu;Yang Lei","doi":"10.17775/CSEEJPES.2022.02140","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.02140","url":null,"abstract":"With development of integrated energy systems and energy markets, transactive energy has received increasing attention from society and academia, and realization of energy distribution and integrated demand response through market transactions has become a current research hotspot. Research on optimized operation of a distributed energy station as a regional energy supply center is of great significance for improving flexibility and reliability of the system. Based on retail-side energy trading market, this study first establishes a framework of combined electric and heating energy markets and analyses a double auction market mechanism model of interconnected distributed energy stations. This study establishes a mechanism model of energy market participants, and establishes the electric heating combined market-clearing model to maximize global surplus considering multi-energy storage. Finally, in the case study, a typical user energy consumption scenario in winter is selected, showing market-clearing results and demand response effects on a typical day. Impact of transmission line constraints, energy supply equipment capacity, and other factors on clearing results and global surplus are compared and analyzed, verifying the effects of the proposed method on improving global surplus, enhancing interests of market participants and realizing coordination and optimal allocation of both supply and demand resources through energy complementarity between regions.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322708","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141965673","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.2022.06240
Mao Ji;Meng Huang;Haomin Lyu;Sheng Shi;Bo Qi;Chengrong Li
Pressure monitoring of a transformer oil tank can grasp the pressure change process caused by gas production when severe internal defects occur and take timely measures to ensure the safe operation of the transformer. Existing pressure sensors generally use metal encapsulation or have an air cavity structure, threatening the transformer's insulation if it is directly used inside the transformer. To this end, this paper proposes a method for developing a high-sensitivity, large-range, and metallization-free optical pressure sensing device with temperature compensation. Fiber grating is encapsulated by fluorosilicone rubber and supplemented by an epoxy resin shielding shell on the outside. At the same time, a double-grating vertical arrangement is adopted to improve pressure measurement sensitivity, further avoiding the influence of temperature rise caused by a defect of the transformer on the measurement result of the sensor. In addition, by optimizing the geometric structure of the internal sensitizing element, pre-stretching length of the fiber grating, gap distance, and other parameters, probe size can be reduced while ensuring the sensor's performance. Results show the proposed method can meet the requirements of sensor fabrication with different sensitivities and ranges, and to a certain extent, both high sensitivity and extensive ranges can be taken into account. The sensitivity of the fabricated prototype is 15 pm/kPa, and the range is about 0.2 MPa. At the same time, the metal-free feature of the sensor makes it suitable for use in various oil-immersed power equipment. It records oil pressure changes caused by oil discharge breakdown, making it sensitive to small pressure changes in early failures.
{"title":"Metal-Free Optical Pressure Sensor with High Sensitivity and Extensive Range","authors":"Mao Ji;Meng Huang;Haomin Lyu;Sheng Shi;Bo Qi;Chengrong Li","doi":"10.17775/CSEEJPES.2022.06240","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06240","url":null,"abstract":"Pressure monitoring of a transformer oil tank can grasp the pressure change process caused by gas production when severe internal defects occur and take timely measures to ensure the safe operation of the transformer. Existing pressure sensors generally use metal encapsulation or have an air cavity structure, threatening the transformer's insulation if it is directly used inside the transformer. To this end, this paper proposes a method for developing a high-sensitivity, large-range, and metallization-free optical pressure sensing device with temperature compensation. Fiber grating is encapsulated by fluorosilicone rubber and supplemented by an epoxy resin shielding shell on the outside. At the same time, a double-grating vertical arrangement is adopted to improve pressure measurement sensitivity, further avoiding the influence of temperature rise caused by a defect of the transformer on the measurement result of the sensor. In addition, by optimizing the geometric structure of the internal sensitizing element, pre-stretching length of the fiber grating, gap distance, and other parameters, probe size can be reduced while ensuring the sensor's performance. Results show the proposed method can meet the requirements of sensor fabrication with different sensitivities and ranges, and to a certain extent, both high sensitivity and extensive ranges can be taken into account. The sensitivity of the fabricated prototype is 15 pm/kPa, and the range is about 0.2 MPa. At the same time, the metal-free feature of the sensor makes it suitable for use in various oil-immersed power equipment. It records oil pressure changes caused by oil discharge breakdown, making it sensitive to small pressure changes in early failures.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":7.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322696","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304048","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.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":null,"pages":null},"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 : 2023-09-08DOI: 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":null,"pages":null},"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.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":null,"pages":null},"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.2022.08500
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":null,"pages":null},"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.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":null,"pages":null},"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.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":null,"pages":null},"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.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。
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