Genetic Algorithm-Particle Swarm Optimization (GA-PSO) for Economic Load Dispatch

被引:0
|
作者
Younes, Mimoun [1 ]
Benhamida, Farid [2 ]
机构
[1] Univ Djilali Liabes, Iceps Lab, Fac Engn, Sidi Bel Abbes, Algeria
[2] Univ Djilali Liabes, IRECOM Lab, Fac Engn, Sidi Bel Abbes, Algeria
来源
PRZEGLAD ELEKTROTECHNICZNY | 2011年 / 87卷 / 10期
关键词
economic load dispatch; genetic algorithm; particle swarm optimization;
D O I
暂无
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
This paper presents a method for Economic Load Dispatch (ELD). Economic dispatch problem is basically an optimization problem where objective function may be highly nonlinear, non-convex, and no differentiable and may have multiple local minima. Therefore classical optimization methods may be trapped to any local minima and may not be able to reach the global minima. The solution to this problem was presented by the application of heuristics methods such as genetic algorithms unfortunately the long execution time and non-guaranteed in convergence to the global optimal solution contribute the main disadvantages of GAs. In this paper provides a solution to this problem through a hybrid method Genetic algorithm - Particle Swarm Optimization (GA-PSO)
引用
收藏
页码:369 / 372
页数:4
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