基于HSA-FNSA混合算法的配电网群故障恢复多目标优化决策  

Multi-objective Optimization for Fault Recovery Decision of Distribution Network Cluster Based on HSA-FNSA Hybrid Algorithms

作　　者：朱险峰 刘子伟[1] 申冉[1] 李飞[2] 王海亮 邓玲 谢琼瑶 ZHU Xianfeng;LIU Ziwei;SHEN Ran;LI Fei;WANG Hailiang;DENG Ling;XIE Qiongyao(State Grid Hubei Yichang Power Supply Company,Yichang 443002,China;Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station,China Three Gorges University,Yichang 443002,China)

机构地区：[1]国网湖北宜昌供电公司,湖北宜昌443000 [2]梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北宜昌443002

出　　处：《智慧电力》2023年第5期23-29,共7页Smart Power

基　　金：国家自然科学基金资助项目(52077120)。

摘　　要：为快速获得系统故障后配电网群故障恢复优化方案,提出了一种基于启发式搜索-快速非支配排序混合算法(HSA-FNSA)的配电网群故障恢复多目标优化决策方法。首先,建立了配电网群故障前后的拓扑模型及故障类型的图论描述,并采用HSA算法获得故障恢复方案集;随后利用分层前推回代法求解配电网潮流以获得运行参数;进一步建立考虑配电网韧性、网损、电压不平衡量和开关操作次数的故障恢复多目标优化决策模型;引入FNSA算法获得帕累托非劣解集并确定终选方案。通过IEEE三馈线算例验证了所提方法在求解配电网群多类型故障恢复的可行性和优越性。To quickly obtain the optimization scheme of fault recovery in distribution network cluster,a novel decision method of multiobjective optimization with fault recovery based on heuristic search algorithm and fast non-dominated sorting approach(HSA-FNSA)is proposed.Firstly,the topological model before and after the failure of distribution network cluster and the graph theory description of the failure type are established.Meanwhile,the HSA algorithm is adopted to obtain the scheme set of fault recovery.Then the power flow in distribution network is solved based on the method of hierarchical forward-backward substitution to obtain the operation parameters.Furthermore,a decision-making model of multi-objective optimization fault recovery is established considering the resilience of distribution network,network loss,voltage imbalance and switching operation times.Fast non-dominated sorting algorithm is introduced to obtain the Pareto non-inferior solution set and select the optimal solution.The simulations verify the feasibility and superiority of the proposed method in solving multi-type fault recovery based on IEEE three feeder system.

关 键 词：配电网群 故障恢复 启发式搜索算法 快速非支配排序 多目标优化 

分 类 号：TM734[电气工程—电力系统及自动化]