An improved hybrid particle swarm optimization method for distribution network planning

被引：0

作者：

Zhang, Xian ^{[1
]}

Yuan, Jinsha ^{[1
]}

Yang, Xueming ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Elect Engn, Baoding 071003, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

electric power engineering; power system; distribution network planning; particle swarm optimization(PSO);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An improved hybrid particle swarm optimization for distribution network planning problem was proposed. The special mutation operator and the crossover operator among extremums of dynamic neighborhood were led. Another method called 'trying its best to meet the radial restriction' was proposed to solve the contradiction between coping with discrete variables and judgment of radial network. Numerical simulation results demonstrate that the method possesses excellent global convergence capability, and is feasible and efficient. It is valuable to popularize the application of the PSO in power system.

引用

页码：7470 / 7474

页数：5