Evolutionary Computing Techniques For Optimal Reactive Power Dispatch: An Overview And Key Issues

被引:3
作者
Sharma, Tejaswini [1 ]
Srivastava, Laxmi [1 ]
机构
[1] Madhav Inst Sci & Technol, Dept Elect Engn, Gwalior, India
来源
2014 FOURTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT) | 2014年
关键词
Optimal reactive power dispatch; Single objective optimization problem; and Multi objective optimization problem; PARTICLE SWARM OPTIMIZATION; ALGORITHM;
D O I
10.1109/CSNT.2014.107
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Optimal reactive power dispatch (ORPD) is carried out to reduce losses, to improve the voltage profile and voltage stability in a power system. In recent years, several evolutionary computing based optimization techniques to solve optimal reactive power dispatch problem has been proposed. These techniques include genetic algorithm (GA), artificial bee colony (ABC), particle swarm optimization (PSO) and differential evolution (DE) etc. The ORPD problem has been solved as a single objective as well as multi-objective optimization problem using these techniques. This paper presents a brief literature review of the work carried out by the various researchers in this field by using evolutionary computing based techniques.
引用
收藏
页码:507 / 511
页数:5
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