Biogeography-based Optimization for Economic Load Dispatch Problems

被引：31

作者：

Roy, P. K. ^{[1
]}

Ghoshal, S. P. ^{[1
]}

Thakur, S. S. ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Durgapur 713209, W Bengal, India

来源：

ELECTRIC POWER COMPONENTS AND SYSTEMS | 2010年 / 38卷 / 02期

关键词：

biogeography; economic load dispatch; genetic algorithm; particle swarm optimization; mutation; migration; PARTICLE SWARM OPTIMIZATION; GENETIC ALGORITHM; DESIGN;

D O I：

10.1080/15325000903273379

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 article presents a biogeography-based optimization technique for solving constrained economic dispatch problems in a power system, considering the non-linear characteristics of generators such as valve point loading, ramp rate limits, prohibited operating zones, and multiple fuels cost functions. In this article, the proposed algorithm has been tested in different systems under various simulated conditions. A comparison of simulation results reveals optimization efficacy of the proposed scheme over the genetic algorithm, particle swarm optimization, the Hopfield model, etc., for the global optimization of multi-objective constrained economic load dispatch problems.

引用

页码：166 / 181

页数：16

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