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
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;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583359