Multiobjective particle swarm optimization for environmental/economic dispatch problem

被引：296
作者：
Abido, M. A. [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2009年 / 79卷 / 07期
关键词：
Environmental/economic dispatch; Particle swarm optimization; Multiobjective optimization; Nondominated solutions; Pareto-optimal front; ECONOMIC-DISPATCH;
D O I：
10.1016/j.epsr.2009.02.005
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：
A new multiobjective particle swarm optimization (MOPSO) technique for environmental/economic dispatch (EED) problem is proposed in this paper. The proposed MOPSO technique evolves a multiobjective version of PSO by proposing redefinition of global best and local best individuals in multiobjective optimization domain. The proposed MOPSO technique has been implemented to solve the EED problem with competing and non-commensurable cost and emission objectives. Several optimization runs of the proposed approach have been carried Out on a standard test system. The results demonstrate the capabilities of the proposed MOPSO technique to generate a set of well-distributed Pareto-optimal solutions in one single run. The comparison with the different reported techniques demonstrates the superiority of the proposed MOPSO in terms of the diversity of the Pareto-optimal solutions obtained. In addition, a quality measure to Pareto-optimal Solutions has been implemented where the results confirm the potential of the proposed MOPSO technique to solve the multiobjective EED problem and produce high quality nondominated solutions. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：1105 / 1113
页数：9
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