DocumentCode :
1895686
Title :
Reconfiguration of Distribution Network Based on Improved Plant Growth Simulation Algorithm
Author :
Yu Yong-zhe ; Huang Jia-dong ; Ren Jing
Author_Institution :
Power Eng., North China Electr. Power Univ., Baoding, China
Volume :
1
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
387
Lastpage :
391
Abstract :
A new distribution network reconfiguration method employing plant growth simulation algorithm as optimal means has been presented. The algorithm handles the objective function and constraints separately, and adopts directional search mechanism. It can avoid falling into local optimal point, which may appear in precious bionics random algorithms due to uncertainness of some parameters and/or without guiding search direction. Moreover, according to the features of distribution network, an improved expressing scheme, using switch as variables is also developed, which is simple and dramatically reduces the dimension of variable and improves the efficiency of calculation. At the same time, the functioning method of the switch is described in four states which can effectively decreases the search scope in optimizing process. To verify the effectiveness of the proposed method, comparative studies are conducted on IEEE69 bus sample systems with rather encouraging results.
Keywords :
distribution networks; search problems; IEEE69 bus sample systems; bionics random algorithms; directional search mechanism; distribution network; plant growth simulation algorithm; power systems; Computational modeling; Computer networks; Convergence; Distributed computing; Intelligent networks; Optimization methods; Power engineering; Power engineering computing; Power system simulation; Switches; Distribution network reconfiguration; distribution network; improved plant growth simulation algorithm; power system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.101
Filename :
5287631
Link To Document :
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