An Improved Hybrid Particle Swarm Optimization Method for Distribution Network Planning

Author

Zhang, Xian ; Yuan, Jinsha ; Yang, Xueming

Author_Institution

Sch. of Electr. Eng., North China Electr. Power Univ., Baoding

Volume

2

fYear

0

fDate

0-0 0

Firstpage

7470

Lastpage

7474

Abstract

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

Keywords

convergence; mathematical operators; particle swarm optimisation; power distribution planning; power engineering; crossover operator; distribution network planning; electric power engineering; global convergence; hybrid particle swarm optimization; mutation operator; numerical simulation; power system; radial network; trying its best to meet the radial restriction method; Convergence of numerical methods; Genetic mutations; Numerical simulation; Particle swarm optimization; Power engineering and energy; Power system control; Power system planning; Power system simulation; Power systems; Systems engineering and theory; Distribution network planning; Electric power engineering; Particle swarm optimization(PSO); Power system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713417

Filename

1713417