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柔性互联配电系统连锁故障风险评估
引用本文:薛俞,李月乔,刘文霞,申泽渊,李琦,翟帅.柔性互联配电系统连锁故障风险评估[J].电力系统自动化,2021,45(8):112-119.
作者姓名:薛俞  李月乔  刘文霞  申泽渊  李琦  翟帅
作者单位:新能源电力系统国家重点实验室(华北电力大学),北京市 102206;国网山西省电力公司经济技术研究院,山西省太原市 030000;国网山西省电力公司临汾供电公司,山西省临汾市 041000
基金项目:国家重点研发计划资助项目(2017YFB0903100);国家电网公司科技项目(521104170043);已申请国家发明专利(申请号:202010647278.3)。
摘    要:为分析柔性多状态开关(FMS)保护隐性故障引起的柔性互联配电系统连锁故障风险,首先介绍其物理结构,随后分析稳态特性、交流馈线故障时的暂态特性,以及FMS的控制保护策略.然后,提出了引起保护误动的不确定因素并对其进行建模,并在此基础上分析了连锁故障形成的机理,建立柔性互联配电网连锁故障风险指标,并提出了基于蒙特卡洛法的概率指标和基于最优切负荷故障后果的计算方法.最后,以改进IEEE 33节点系统为算例,评估了系统连锁故障风险,并分析了故障位置和分布式电源渗透率因素对风险的影响.

关 键 词:柔性多状态开关  连锁故障  风险评估  柔性互联配电系统  蒙特卡洛法  分布式电源  不确定性
收稿时间:2020/5/5 0:00:00
修稿时间:2020/10/28 0:00:00

Risk Assessment of Cascading Failures in Flexible Interconnected Power Distribution System
XUE Yu,LI Yueqiao,LIU Wenxia,SHEN Zeyuan,LI Qi,ZHAI Shuai.Risk Assessment of Cascading Failures in Flexible Interconnected Power Distribution System[J].Automation of Electric Power Systems,2021,45(8):112-119.
Authors:XUE Yu  LI Yueqiao  LIU Wenxia  SHEN Zeyuan  LI Qi  ZHAI Shuai
Affiliation:1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China;2.Economic and Technological Research Institute of State Grid Shanxi Electric Power Co., Ltd., Taiyuan 030000, China;3.Linfen Power Supply Company of State Grid Shanxi Electric Power Co., Ltd., Linfen 041000, China
Abstract:In order to analyze the cascading failure risk of flexible interconnected power distribution systems caused by hidden fault protection of flexible multi-state switch (FMS), this paper first introduces its physical structure. Then, the steady-state characteristic, the transient characteristic of AC feeder failure, and FMS control and protection strategies are analyzed. The uncertain factors that cause the protection malfunctions are proposed and modeled. On this basis, the mechanism of cascading failure formation is analyzed, and the cascading failure risk indicators of flexible interconnected power distribution networks are established. The probabilistic indicators based on Monte Carlo method and the calculation methods based on optimal load shedding failure consequences are also proposed. Taking the modified IEEE 33-bus system as an example, the risk of cascading failures in the system is evaluated, and the influence of the failure location and the penetration rate of distributed generators on the risk is analyzed.
Keywords:flexible multi-state switch  cascading failure  risk assessment  flexible interconnected power distribution system  Monte Carlo method  distributed generator  uncertainty
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