文章基本信息

标题：Benchmark studies on Optimal Reactive Power Dispatch (ORPD) Based Multi-Objective Evolutionary Programming (MOEP) using Mutation Based on Adaptive Mutation Operator (AMO) and Polynomial Mutation Operator (PMO)
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作者：Mahaletchumi Morgan ; Nor Rul Hasma Abdulla ; Mohd Herwan Sulaiman 等
期刊名称：Journal of Electrical Systems
印刷版ISSN：1112-5209
出版年度：2016
卷号：12
期号：1
页码：121-132
出版社：ESRGroups
摘要：Present days, Power System operates in a stressed condition due to reactive power shortage. Hence, this research involves development of an adaptive mutation algorithm based multiobjective for Optimal Reactive Power Dispatch (ORPD) in a power system in order to minimize the total loss and the improved voltage stability simultaneously. The performance of a MultiObjective Evolutionary Programming (MOEP) is significantly dependent on the parameter setting of the operator. These parameters tend to change the characteristic of adaptive in different stages of evolutionary process. The intention of this paper is to create adaptive controls for each parameter existing in MOEP where it is able to improve even more the performance of the evolutionary programming. Hence, in this paper, an adaptive mutation operator based multi-objective evolutionary programming is presented. A computer program was written in MATLAB. At the end, the result was compared with the Polynomial Mutation Operator.
关键词：Optimal Reactive Power Dispatch; Multi-Objective Evolutionary Programming; Adaptive; Mutation Operator; Polynomial Mutation Operator