Zhenkun LI, Tianyi ZHANG, Bingyan XU, et al. Power Restoration Decision and Generalized Dynamic Islanding Strategy After Distribution Network Failure Considering Operational Risks[J]. Modern electric power, 2025, 42(2): 281-292.
DOI:
Zhenkun LI, Tianyi ZHANG, Bingyan XU, et al. Power Restoration Decision and Generalized Dynamic Islanding Strategy After Distribution Network Failure Considering Operational Risks[J]. Modern electric power, 2025, 42(2): 281-292. DOI: 10.19725/j.cnki.1007-2322.2023.0022.
Power Restoration Decision and Generalized Dynamic Islanding Strategy After Distribution Network Failure Considering Operational Risks
A reasonable islanding operation strategy is of great significance for power restoration as well as system resilience enhancement when major failures occur in the distribution network. Therefore
the problem of utilizing traditional contact lines and emerging distributed generation (abbr. DG) to restore integrated power to outage areas in the distribution network was profoundly studied. Firstly
the integrated power restoration problem was uniformly simplified as a generalized DG-based islanding problem by equating the contact lines to virtual DGs. Secondly
to adequately quantify the risk of islanding operation during failure hours
the islanding operation risk indicators were defined from the perspectives of power balance and voltage stability
and a dynamic constraint method for islanding operation risk was proposed based on the opportunity constrained optimization model. Subsequently
a generalized dynamic islanding strategy for distribution networks considering operational risks was proposed. This strategy can dynamically adjust the island range based on risk factors such as DG output
load timing changes
and node voltage levels
maximizing the utilization of DG resources during fault periods while ensuring the stability and sustainability of island operation. In allusion to the problem of high difficulty in solving the dynamic islanding strategy
the improved branch-and-bound method in combination with the heuristic algorithm was used to solve and dynamically modify the islanding strategy to ensure the rationality and timeliness of recovery decisions under emergencies. Finally
simulation experiments and analysis were carried out based on a 40 node distribution network example to verify the effectiveness of the proposed method.
XU Yin, HE Jinghan, WANG Ying, et al . A review and outlook of distribution network fault recovery research in the context of resilience[J ] . Transactions of China Electrotechnical Society, 2019, 34(16): 3416−3429(in Chinese).
NGUYEN P C, FLUECK J A. Agent based restoration with distributed energy storage support in smart grids[J]. IEEE Transactions on Smart Grid, 2012, 3(2): 1029−1038.
BAO Wei, HU Xuehao, HE Guoqing, et al . Study on standard for grid-integration of distributed resources [J ] . Power System Technology, 2012, 36(11): 46−52(in Chinese).
CVETK OVIC I, BOROYEVICH D, BURGOS R, et al . Modeling and control of grid-connected voltage-source converters emulating isotropic and anisotropic synchronous machines[C ] // IEEE 16th Workshop on Control and Modeling for Power Electronics (COMPEL). Vancouver, BC, Canada: IEEE, 2015: 1-5.
YANG Lijun, LÜ Xuejiao, LI Dan, et al . Dynamic repair-recovery strategy of multiple faults for active distribution network based on multi-agent system[J ] . Proceedings of the CSEE, 2017, 37(23): 6855−6865(in Chinese).
GOLSHANI A , SUN W, SUN K. Advanced power system partitioning method for fast and reliable restoration: toward a self-healing power grid[J]. IET Generation, Transmission& Distribution, 2018, 12(1): 42−52.
LI Zhenkun, HE Miao, SU Xiangjing, et al . Fault recovery method of smart distribution network based on biological immune mechanism[J ] . Proceedings of the CSEE, 2021, 41(23): 7924−7937(in Chinese).
LIU Gang, CHEN Sha, TONG Jin, et al . Fault recovery method for distribution network with distributed power access [J ] . Electrical Measurement and Instrumentation, 2020, 57(18): 50−56(in Chinese).
LIU Sicong, ZHOU Buxiang, SONG Jie, et al . Multi-objective fault recovery considering randomness of distributed power output [J ] . Electrical Measurement & Instrumentation, 2018, 55(2): 123−128(in Chinese).
LI Zhenkun, ZHOU Weijie, QIAN Xiao, et al . Distribution network restoration and black start based on distributed generators[J ] . Transactions of China Electrotechnical Society, 2015, 30(21): 67−75(in Chinese).
TANG Min’an, ZHANG Kaiyue, XU Xiyuan. Service restoration strategy of a distribution network based on heuristic rules and the AHP-CRITIC algorithm[J]. Power System Protection and Control, 2020, 48(14): 1−9(in Chinese).
MIAO Hui, DING Xiaoqun, YE Chenhui, et al . Service restoration algorithm for distribution network with distributed generation based on graph theory and OBDD[J ] . Advanced Technology of Electrical Engineering and Energy, 2018, 37(9): 59−66(in Chinese).
LI Bin, ZHU Jing, LI Peijie, et al . Island partition of distribution network with unreliable distributed generators[J ] . Automation of Electric Power Systems, 2015, 39(8): 59−65(in Chinese).
LEW D , BRINKMAN G , LBANEZ E, et al . Western wind and solar integration study[R ] . Colorado, USA: National Renewable Energy Lab(NREL), 2010: 69-87.
WANG Yuehan, LIU Wenxia, YAO Qi, et al . Mobile energy storage pre-layout and dynamic dispatch strategy for distribution network resilience enhancement[J ] . Automation of Electric Power Systems , 2022, 46(15): 37-45(in Chinese).
LU Junjie, YANG Xiaodong, ZHANG Youbing, et al . An optimal decision method for fault recovery of interconnected power distribution systems containing multi-terminal flexible soft switches[J ] . Proceedings of the CSEE, 2023, 43(12): 4554−4568(in Chinese).
ZHANG Yun, JIANG Wang, ZHANG Chao, et al . Master-slave control microgrid off-grid coordinated control strategy based on energy storage state of charge [J ] . Power System Protection and Control, 2022, 50(4): 180−187.(in Chinese).
WANG Y, LI W Y, LU J P.Reliability analysis of wide-area measurement system[J]. IEEE Transactions on Power Delivery, 2010, 25(3): 1483−1490.
ZHANG Lu, TANG Wei, CONG Pengwei, et al . Optimal configuration of active-reactive power sources in distribution network with PV generation[J ] . Proceedings of the CSEE, 2014, 34(31): 5525−5533(in Chinese).
GAO Yajing, LI Ruihuan, LIANG Haifeng, et al . Two step optimal dispatch based on multiple scenarios technique considering uncertainties of intermittent distributed generations and loads in the active distribution system[J ] . Proceedings of the CSEE, 2015, 35(7): 1657−1665(in Chinese).
DOLATABADI A, JADIDBONAB M , MOHAMMADI-IVATLOO B. Short-term scheduling strategy for wind-based energy hub: a hybrid stochastic/IGDT approach[J]. IEEE Transactions on Sustainable Energy, 2018, 10(1): 438−448.
CHEN Juanwei, YU Tao, XU Yue, et al . Analytical algorithm for power supply reliability assessment of gas-electric coupled integrated energy system[J ] . Power System Automation, 2018, 42(24): 59−66(in Chinese).
JIANG Yuewen, CHEN Chong, WEN Buying. A particle swarm algorithm for stochastic simulation of power system unit combination problems containing wind farms[J]. Journal of Electrotechnology, 2009, 24(6): 129−137(in Chinese).
NIU Geng, KONG Li, ZHOU Long, et al . Review on power supply recovery technology of distribution network with distribution generation[J ] . Advanced Technology of Electrical Engineering and Energy, 2017, 36(9): 51−62(in Chinese).