A New Particle Swarm Optimization Solution to Optimal Reactive Power Flow Problems

Author

Gonggui Chen ; Junjie Yang

Author_Institution

Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan

fYear

2009

fDate

27-31 March 2009

Firstpage

1

Lastpage

4

Abstract

A new approach to ORPF (optimal reactive power Flow) based on NPSO-LRS (new particle swarm optimization, local random search) algorithm is proposed, and LRS subroutine is invoked using probability invoking strategy in this paper. The algorithm approaches and methods for solving ORPF problem are given. By applying the algorithm to dealing with IEEE 30-bus system, compared with the PSO algorithm and SGA (simple genetic algorithm), the experimental results show that the algorithm is indeed capable of obtaining higher quality solutions efficiently in ORPF and the convergence performance is better.

Keywords

load flow; particle swarm optimisation; probability; reactive power; search problems; IEEE 30-bus system; NPSO-LRS algorithm; ORPF problem; local random search algorithm; optimal reactive power flow; particle swarm optimization solution; probability invoking strategy; Educational institutions; Genetics; Linear programming; Particle swarm optimization; Power engineering and energy; Power system analysis computing; Power system modeling; Power system security; Power system stability; Reactive power;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific

Conference_Location

Wuhan

Print_ISBN

978-1-4244-2486-3

Electronic_ISBN

978-1-4244-2487-0

Type

conf

DOI

10.1109/APPEEC.2009.4918075

Filename

4918075