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基于粒子群算法的配电网网格化规划技术研究
引用本文:王海亮,项川,彭芝萍,梁政璇.基于粒子群算法的配电网网格化规划技术研究[J].通信电源技术,2020(1):36-38,41.
作者姓名:王海亮  项川  彭芝萍  梁政璇
作者单位:国网宜昌供电公司经济技术研究所;武汉大学电气与自动化学院
摘    要:随着电力负荷的飞速增长,配电网规划尤为重要,为此提出了配电网网格化规划的思路、模型和方法。分析宜昌市城市空间发展格局和配电网现状,结合《配电网网格化规划指导原则》提出网格化划分原则,据此对宜昌市西陵区中心区配电网进行网格划分,在优化划分结果的基础上,使用粒子群算法优化变电站选址,以网络运行损耗最低为目标函数,建立了变电站选址的数学模型。

关 键 词:配电网  网格化规划  变电站选址优化  粒子群算法

Research on Grid Planning Technology of Distribution Network Based on Particle Swarm Optimization
WANG Hai-liang,XIANG Chuan,PENG Zhi-ping,LIANG Zheng-xuan.Research on Grid Planning Technology of Distribution Network Based on Particle Swarm Optimization[J].Telecom Power Technologies,2020(1):36-38,41.
Authors:WANG Hai-liang  XIANG Chuan  PENG Zhi-ping  LIANG Zheng-xuan
Affiliation:(State Grid Yichang Power Supply Company Economic and Technological Research Institute,Yichang 443000,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)
Abstract:With the rapid growth of power load,distribution network planning is particularly important. Therefore,the idea,model and method of grid planning of distribution network are proposed. This paper analyzes the spatial development pattern and distribution network status of Yichang City,and puts forward the grid division principle based on the guiding principle of distribution network grid planning. On the basis of the result of optimization,particle swarm optimization algorithm is used to optimize the location of substation,and the mathematical model of substation location is established with the lowest network operation loss as the objective function.
Keywords:distribution network  grid planning  substation location optimization  particle swarm optimization
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