Optimal power system operation using parallel processing system and PSO algorithm

被引：36

作者：

Kim, Jong-Yul ^{[1
]}

Mun, Kyeong-Jun ^{[2
]}

Kim, Hyung-Su ^{[3
]}

Park, June Ho ^{[1
]}

机构：

[1] Pusan Natl Univ, Pusan, South Korea

[2] Korea Atom Energy Res Inst, Taejon, South Korea

[3] Namhae Coll, Gyeongnam, South Korea

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2011年 / 33卷 / 08期

关键词：

Particle swarm optimization; Heuristic; Optimal power flow; PC cluster system; Parallel processing; FLOW;

D O I：

10.1016/j.ijepes.2011.06.026

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In recent studies, PSO algorithm is applied to solve OPF problem. However, population based optimization method requires higher computing time to find optimal point. This shortcoming is overcome by a straightforward parallelization of PSO algorithm. The developed parallel PSO algorithm is implemented on a PC-cluster system with 8 Intel Pentium IV 2 GHz processors. The proposed approach has been tested on the test systems. The results showed that computing time of parallelized PSO algorithm can be reduced by parallel processing without losing the quality of solution. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1457 / 1461

页数：5

共 12 条

[1] Improved particle swarm optimization applied to reactive power reserve maximization [J].