电力系统自动化2025，Vol.49Issue(6)：88-95,8.DOI:10.7500/AEPS20230330002
基于弹性系数的配电网重构与故障抢修协同优化方法
Resilience Coefficient Based Collaborative Optimization Method of Distribution Network Reconfiguration and Fault Repair
摘要
Abstract
Aiming at the rapid recovery problem after large-scale power outages caused by extreme disaster events,this paper proposes a collaborative optimization method of network reconfiguration and fault repair for resilience enhancement of distribution networks.First,an resilience characterization model of distribution network based on mechanical mapping is constructed by combining the curves of system performance.The expression of the resilience coefficient of the distribution network is derived.And the resilience coefficient of the distribution network is comprehensively quantified by three indicators:system active power shortage,speed of average load recovery,and load average recovery duration.Then,a cooperative optimization framework for network reconfiguration and fault repair is constructed for resilience enhancement.On this basis,the network reconfiguration and fault repair models are established with the minimum load loss and the maximum load recovery after repair completion as the objective functions,respectively.The two models dynamically interact and synergistically optimize to improve the resilience coefficient,so that the distribution network has the minimum performance loss during the recovery process.Finally,the effectiveness of the proposed method is verified by cases of improved IEEE 33-bus distribution system.关键词
配电网/弹性/弹性系数/协同优化/网络重构/故障抢修Key words
distribution network/resilience/resilience coefficient/collaborative optimization/network reconfiguration/fault repair引用本文复制引用
彭佳盛,文云峰,梁晓锐,张华嬴,董新,杨游航..基于弹性系数的配电网重构与故障抢修协同优化方法[J].电力系统自动化,2025,49(6):88-95,8.基金项目
国家自然科学基金资助项目(52077066) （52077066）
中国南方电网有限责任公司科技项目(090000KK52222133/SZKJXM20222115). This work is supported by National Nature Science Foundation of China(No.52077066)and China Southern Power Grid Company Limited(No.090000KK52222133/SZKJXM20222115). （090000KK52222133/SZKJXM20222115）
