Combined Hybrid Differential Particle Swarm Optimization Approach for Economic Dispatch Problems

被引：12
|
作者：
Ramesh, V. [1 ]
Jayabarathi, T. [1 ]
Asthana, Samarth [1 ]
Mital, Shantanu [1 ]
Basu, Sampurna [1 ]
机构：
[1] Vellore Inst Technol, Sch Elect Sci, Vellore 632014, Tamil Nadu, India
来源：
ELECTRIC POWER COMPONENTS AND SYSTEMS | 2010年 / 38卷 / 05期
关键词：
economic dispatch; particle swarm optimization; hybrid differential evolution;
D O I：
10.1080/15325000903376958
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：
The economic dispatch problem is concerned with the optimal allocation of a load among different generators for a given demand, minimizing fuel cost, emission, etc. This article presents a new, improved combined hybrid differential particle swarm optimization algorithm that combines hybrid differential evolution with particle swarm optimization for the solution of economic dispatch problems. This new algorithm combines the vibrancy and explorative nature of particle swarm optimization with the superior exploitative nature of hybrid differential evolution in such a manner that the merits of both remain intact. The results obtained are compared with a few other existing non-conventional methods, and the applicability and effectiveness of the proposed algorithm to power system optimization problems are indicated.
引用
收藏
页码：545 / 557
页数：13
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