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Optimization method of skeleton network partitioning scheme considering resilience active improvement in power system restoration after typhoon passes through

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2023年第1期148卷

作者： Li, Shaoyan Lin, Zimian Zhang, Youhao Gu, Xueping Wang, Hongtao North China Elect Power Univ Dept Elect Engn Baoding Hebei Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

After a major blackout caused by typhoon, secondary meteorological or geological disasters may also occur, so the secondary fault probability of transmission components in the restoration process is considerably higher than that in the normal operation state. A robust and reliable skeleton network restoration scheme is important to prevent the recurrence of collapse during restoration. Secondary component faults or contingencies are rarely considered in the existing research on transmission system restoration. Given that, this paper proposes a network partitioning scheme considering active resilience improvement of the skeleton network in parallel system restoration after a typhoon passes through. First, the necessity of considering secondary faults in the restoration after the blackout caused by typhoon is analyzed, and a new resilience index considering the impact of secondary faults is proposed. Next, the optimization objectives are proposed, including maximizing system resilience and minimizing restoration operation cost, and the basic partitioning constraints were modeled. Linearized operation constraints considering secondary faults were proposed to consider the resilience index in the partitioning scheme optimization. Then, a multi-objective mixed integer linear programming (MILP) network partitioning model considering the active resilience improvement of the skeleton network was established to mitigate the effect of secondary faults caused by typhoon. Furthermore, the Normalized Normal Constraint (NNC) method and the Variation Coefficient (VC) method were used to solve the multi-objective MILP model. To reduce the scale of the decision space, a swing-bus-based solving simplification strategy was proposed. In this paper, New England 10-unit 39-bus system and IEEE 118-bus system are taken as cases to demonstrate the proposed par-titioning scheme optimization method considering the system resilience improvement. The simulation results show that the partitioning

关键词： Power system restoration optimal partitioning scheme Resilience Typhoon Secondary fault

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