Security constrained economic load dispatch using improved particle swarm optimization suitable for utility system

被引:23
作者
Baskar, G. [1 ]
Mohan, M. R. [1 ]
机构
[1] Anna Univ, Dept Elect & Elect Engn, Madras 6000025, Tamil Nadu, India
关键词
Security constraints; Economic load dispatch; Evolutionary programming; Improved particle swarm optimization;
D O I
10.1016/j.ijepes.2008.09.001
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 objective of this paper is to evolve simple and effective methods for the economic load dispatch (ELD) problem with security constraints in thermal units, which are capable of obtaining economic scheduling for utility system. In the proposed improved particle swarm optimization (IPSO) method, a new velocity strategy equation is formulated suitable for a large scale system and the features of constriction factor approach (CFA) are also incorporated into the proposed approach. The CFA generates higher quality solutions than the conventional PSO approach. The proposed approach takes security constraints such as line flow constraints and bus voltage limits into account. In this paper, two different systems IEEE-14 bus and 66-bus Indian utility system have been considered for investigations and the results clearly show that the proposed IPSO method is very competent in solving ELD problem in comparison with other existing methods. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:609 / 613
页数:5
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