NDLI: An immune genetic algorithm based approach for distribution system reconfiguration

Content Provider	IEEE Xplore Digital Library
Author	An Wen-dou Zhou Quan Zhang Xin Qin Yuzhong Chen Weigen
Copyright Year	2010
Description	Author affiliation: Postdoctoral Workstation in Chongqing Branch of China Coal Research Institute, 400037, China (Qin Yuzhong) \|\| State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, 400044, China (An Wen-dou; Zhou Quan; Zhang Xin; Chen Weigen)
Abstract	In this paper, a bio-immune mechanism based genetic algorithm (GA) optimization approach for the reconfiguration of distribution system is proposed. Some mathematical methods such as memorial property, diversity and self-adaptive feature of the natural immune system are introduced which prevent premature problem of GA effectively and acquire global optimum with high speed during the iterative procedure. Moreover, a coding strategy, representing distribution system features, is adopted which codes the switches of the tie switch-decided loop in the same chromosome. The improved coding strategy can effectively prohibit invalid solution, reduce search space and accelerate speed. A 33-bus distribution system is tested and the corresponding results demonstrate the effectiveness and feasibility of the proposed method for application.
Starting Page	92
Ending Page	95
File Size	450786
Page Count	4
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5583359
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	immune mechanism immune genetic algorithm distribution system Encoding reconfiguration Biological cells Optimization Immune system Load flow analysis
Content Type	Text
Resource Type	Article

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