基于GIS和改进PSO算法的配电网络变电站选址规划  

Location Planning of Distribution Network Substation Based on GIS and Improved PSO Algorithm

作　　者：高庆敏[1] 张乾业[1] 

机构地区：[1]华北水利水电学院,河南郑州450011

出　　处：《现代建筑电气》2010年第9期38-42,59,共6页Modern Architecture Electric

摘　　要：提出了一种改进的PSO算法,用于解决配电网络变电站选址问题。改进PSO算法是将模拟退火思想和变异算子引入粒子群算法中,在计算初期保证群体的多样性,后期增强了算法的寻优精度。在变电站计算模型中,首次将地理信息作为元数据权重因子引入到选址模型中。通过实例分析,给配电网规划建设提供了参考。An improved particle swarm optimization(PSO)algorithm was presented to handle location problem of distribution network substation.The improved PSO algorithm put the simulated annealing and mutation operator to PSO algorithm,so it could guarantee the multiplicity of colony in initial computational period and enhance the optimization decimal of the algorithm in the later period.The geographic information was firstly introduced into the location-selected model as Metadato factor.At last,through the analysis of...

关 键 词：变电站选址 地理信息系统 粒子群优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]