Hybrid PSO-DE for Solving the Economic Dispatch Problem with Generator Constraints

被引:31
作者
Khamsawang, S. [1 ]
Wannakarn, P. [2 ]
Jiriwibhakorn, S. [1 ]
机构
[1] King Mongkuts Inst Technol Ladkrabang, Fac Engn, Dept Elect Engn, Bangkok 10520, Thailand
[2] Rajamangala Univ Technol Phra Nakhon, Fac Engn, Dept Elect Engn, Bangkok, Thailand
来源
2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 5 | 2010年
关键词
Particle swarm optimization; Economic dispatch problem; Mutation operator; Prohibited operating zones; Differential Evolution;
D O I
10.1109/ICCAE.2010.5451501
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes an improved approach based on conventional particle swarm optimization (PSO) for solving an economic dispatch(ED) problem with considering the generator constraints. The mutation operators of the differential evolution (DE) are used for improving diversity exploration of PSO, which called hybrid particle swarm optimization - differential evolution (PSO-DE). The mutation operators are activated if velocity values of PSO nearly to zero or violated from the boundaries. Four scenarios of mutation operators are implemented for PSO-DE. The simulation results of all scenarios of the PSO-DE outperform over the PSO and other existing approaches which appeared in literatures.
引用
收藏
页码:135 / 139
页数:5
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