Modified particle swarm optimization for nonconvex economic dispatch problems

被引:77
作者
Basu, M. [1 ]
机构
[1] Jadavpur Univ, Dept Power Engn, Kolkata 700098, India
关键词
Modified particle swarm optimization; Economic dispatch; Prohibited operating zones; Valve-point loading; Multi-fuel option; GENETIC ALGORITHM; SEARCH; SOLVE; UNITS;
D O I
10.1016/j.ijepes.2015.01.015
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 modified particle swarm optimization to solve economic dispatch problems with non-smooth/non-convex cost functions. Particle swarm optimization performs well for small dimensional and less complicated problems but fails to locate global minima for complex multi-minima functions. This paper proposes Gaussian random variables in velocity term which improves search efficiency and guarantees a high probability of obtaining the global optimum without considerably worsening the speed of convergence and the simplicity of the structure of particle swarm optimization. The efficacy of the proposed method has been demonstrated on four test problems and four different non-convex economic dispatch problems with valve-point effects, prohibited operating zones with transmission losses, multiple fuels with valve point effects and the large-scale Korean power system with valve-point effects and prohibited operating zones. The results of the proposed approach are compared with those obtained by other evolutionary methods reported in the literature. It is found that the proposed modified particle swarm optimization based approach is able to provide better solution. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:304 / 312
页数:9
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