Two-phase particle swarm optimization for load flow analysis

被引：0
|
作者：
Ting, T. O. [1 ]
Wong, K. P. [1 ]
Chung, C. Y. [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS | 2006年
关键词：
D O I：
10.1109/ICSMC.2006.385213
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work, PSO is applied to solve power flow problem. For efficient search, some parameters in PSO are investigated and parameter sensitivity analyses are carried out to find the optimum value for the relevant parameters. We further recommend a set of optimal PSO settings applied in Two-phase Particle Swarm Optimization in tackling power flow problem. Results show remarkable improvement in comparison to original PSO and Constrained Genetic Algorithm Power Flow (CGAPF).
引用
收藏
页码：2345 / +
页数：2
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