基于改进粒子群的配电网网架结构规划优化方法  

Optimization method of distribution network grid structure planning based on improved particle swarm

作　　者：陈猛 CHEN Meng(Enshi Power Supply Company of State Grid Hubei Electric Power Co.?Ltd.?Enshi,Hubci/M5000?China)

机构地区：[1]国网湖北省电力有限公司恩施供电公司,湖北恩施445000

出　　处：《计算机应用文摘》2023年第18期118-120,124,共4页Chinese Journal of Computer Application

摘　　要：常规的网架结构优化方法主要以配电网用电预测为主,忽略了网架结构的负荷变化,导致配电网的网损增加。因此,设计了基于改进粒子群的配电网网架结构规划优化方法。该方法提取配电网网架结构负荷随机性特征,并分析配电网网架结构出力限制。基于改进粒子群算法构建配电网网架结构规划模型,并初始化网架结构规划层编码,以确保网架规划模型的解为可行状态,从而提升网架规划模型的求解效率。采用仿真实验验证了该优化方法的网损更低,能够应用于实际生活中。The conventional grid structure optimization method mainly focuses on the power consumption prediction of the distribution network,ignoring the load change of the grid structure,resulting in an increase in the grid loss of the distribution network.Therefore,a grid structure planning optimization method for the distribution network based on improved particle swarm is designed.The method extracts the randomness characteristics of the grid structure load of the distribution network and analyzes the output limit of the grid structure of the distribution network.Based on the improved particle swarm algorithm,the grid structure planning model of the distribution network is constructed,and the grid structure planning layer code is initialized to ensure that the solution of the grid planning model is feasible,thereby improving the solution efficiency of the grid planning model.Simulation experiments are used to verify that the optimization method has lower network losses and can be applied in real life.

关 键 词：改进粒子群 配电网 网架结构 规划优化方法 

分 类 号：TM72[电气工程—电力系统及自动化]