DocumentCode
2291744
Title
An immune genetic algorithm based approach for distribution system reconfiguration
Author
An Wen-dou ; Zhou Quan ; Zhang Xin ; Qin Yuzhong ; Chen Weigen
Author_Institution
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
Volume
1
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
92
Lastpage
95
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.
Keywords
distribution networks; genetic algorithms; chromosome; coding strategy; distribution system reconfiguration; immune genetic algorithm; iterative procedure; mathematical methods; memorial property; natural immune system; tie switch-decided loop; Biological cells; Encoding; Immune system; Load flow analysis; Optimization; distribution system; immune genetic algorithm; immune mechanism; reconfiguration;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583359
Filename
5583359
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