基于故障邻接状态的配电网多故障抢修与优化策略

doi:10.11930/j.issn.1004-9649.202103145

中国电力 ›› 2023, Vol. 56 ›› Issue (3): 64-76.DOI: 10.11930/j.issn.1004-9649.202103145

基于故障邻接状态的配电网多故障抢修与优化策略

于艾清, 丁丽青, 王育飞, 李豪

上海电力大学电气工程学院，上海 200090

收稿日期:2021-03-26 修回日期:2022-04-12 出版日期:2023-03-28 发布日期:2023-03-28
作者简介:于艾清(1981-),女,通信作者,博士,副教授,从事新型电力系统规划与调度、智能优化算法研究,E-mail:yuaiqing@shiep.edu.cn;丁丽青(1994-),男,硕士研究生,从事配电网故障抢修与恢复、智能优化算法研究,E-mail:dlqcrystal@qq.com;王育飞(1974-),男,博士,教授,从事电动汽车有序充电、电力储能应用技术和电能质量分析与控制研究,E-mail:wangyufei@shiep.edu.cn;李豪(1989-),男,博士,副教授,从事电力设备状态监测及新能源并网技术研究,E-mail:hlipower@shiep.edu.cn
基金资助:
国家自然科学基金资助项目（51907116）；上海市科技创新行动计划项目（20DZ2205500）；上海绿色能源并网工程技术研究中心项目（13DZ2251900）。

Multi-fault Repair and Optimization Strategy of Distribution Network Based on Fault Adjacency State

YU Aiqing, DING Liqing, WANG Yufei, LI Hao

College of Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received:2021-03-26 Revised:2022-04-12 Online:2023-03-28 Published:2023-03-28
Supported by:
This work is supported by National Natural Science Foundation of China (No.51907116), Shanghai Science and Technology Innovation Action Plan (No.20DZ2205500) and Shanghai Engineering Research Center of Green Energy Grid-Connected Technology (No.13DZ2251900).

摘要/Abstract

摘要： 基于故障与配网的拓扑关系和抢修与恢复的动态交替特性，建立了基于故障邻接状态的配电网多故障抢修与优化模型，快速制定抢修策略。在故障抢修阶段，基于供电类型建立负荷节点带电状态矩阵，提取故障邻接负荷的带电状态建立故障邻接负荷带电状态矩阵，对其进行拓展得到故障邻接状态，并对故障进行分类。通过抢修与故障邻接状态的交替更新确定每阶段最优抢修任务。在重构计算中，建立自适应环压有序环矩阵作为算法的解空间，引入余弦递减函数和莱维飞行对量子粒子群算法进行改进，建立莱维系数量子粒子群算法进行求解。用PG&E69节点系统进行仿真，验证所提方法的可行性和所提算法的有效性。

关键词: 故障抢修与恢复, 配网拓扑结构, 故障邻接状态, 配电网重构, 莱维系数量子粒子群算法

Abstract: According to the relationship between faults and topology of the distribution network as well as the coupling between repair and recovery, a multi-fault repair and optimization model of distribution network based on fault adjacency state is established in this paper. In the stage of emergency repair, the electrified state matrix of load nodes is established based on the power supply type. The electrified state matrix of the fault adjacent load is proposed by extracting the electrified state of the fault adjacent load. The fault adjacency state is obtained by extending the electrified state matrix of the fault adjacent load, then the faults are classified. The optimal repair task at each stage is determined by the alternate update of repair and fault adjacent state. During the reconstruction calculation period, the node voltage based adaptive ordered ring matrix for the ring network is set up as the solution space of the algorithm. Then, the Levy coefficient quantum particle swarm optimization was applied using the decreasing cosine function and Levy flight to improve the quantum particle swarm optimization algorithm. The practicability and the effectiveness of the proposed methods are verified by simulation on PG&E69 bus system.

Key words: fault repair and recovery, distribution network topology, fault adjacency state, reconfiguration of distribution network, Levy coefficient quantum particle swarm optimization

于艾清, 丁丽青, 王育飞, 李豪. 基于故障邻接状态的配电网多故障抢修与优化策略[J]. 中国电力, 2023, 56(3): 64-76.

YU Aiqing, DING Liqing, WANG Yufei, LI Hao. Multi-fault Repair and Optimization Strategy of Distribution Network Based on Fault Adjacency State[J]. Electric Power, 2023, 56(3): 64-76.

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基于故障邻接状态的配电网多故障抢修与优化策略

Multi-fault Repair and Optimization Strategy of Distribution Network Based on Fault Adjacency State

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基于故障邻接状态的配电网多故障抢修与优化策略

Multi-fault Repair and Optimization Strategy of Distribution Network Based on Fault Adjacency State

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