文章基本信息

标题：Effect of Multi-DG Installation to Loss Reduction in Distribution System
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作者：Nur Zahirah Mohd Ali ; Ismail Musirin ; Saiful Izwan Suliman 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：187-196
出版社：ESRGroups
摘要：Since last decade, Artificial Intelligence (AI) methods have been used to solve complex DG problems because in most cases, they can provide global or near global solution. The major advantage of the AI methods is that they are relatively versatile for handling various qualitative constraints. AI methods mainly include Artificial Neural Network (ANN), Expert System (ES), Genetic Algorithm (GA), Evolutionary Programming (EP), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). The purpose of this paper is to present a new technique, namely Adaptive Embedded Clonal Evolutionary Programming (AECEP). The objective of the study is to employ AECEP optimization techniques for loss minimization. This technique was developed to optimally determine the location and sizing of DG. The IEEE 41- Bus RTS was implemented for testing several cases in terms of loading conditions..
关键词：Artificial intelligence; Adaptive Embedded Clonal Evolutionary Programming; loss; minimization