DocumentCode
3470097
Title
Switch group based Tabu search algorithm for distribution network reconfiguration
Author
Xiong, Ning ; Cheng, Haozhong ; Yao, Liangzhong ; Bazargan, Masoud
Author_Institution
Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai
fYear
2008
fDate
6-9 April 2008
Firstpage
820
Lastpage
822
Abstract
Distribution network reconfiguration for loss minimization can is realized by changing the status of sectionalizing switch (close) and tie switch (open) while keeping the network configuration radial. The distribution reconfiguration belongs to multi constraints, high dimensions and none-linear combinatorial optimization problem. These characteristics determine solution space would increase explosively as the increase of switch numbers and infeasible solution would be produced largely in the process of switch combination. In this paper, an efficient searching algorithm is presented for distribution network optimization. This method combines the advantages of Switch group and Tabu searching. Switch group concept is adopted as coding for reducing infeasible solution candidates; Tabu search algorithm is applied for searching the best solution among candidates. At last, the presented method is validated by typical testing system and the comparison with other searching strategies is made to illustrate the effectiveness and reliability.
Keywords
distribution networks; optimisation; search problems; combinatorial optimization; distribution network reconfiguration; sectionalizing switch; switch group; tabu search algorithm; tie switch; Artificial intelligence; Encoding; Genetics; Mathematical model; Niobium; Power system reliability; Propagation losses; Simulated annealing; Switches; System testing; Distribution network reconfiguration; Switch group; Tabu search; Transmission loss;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location
Nanjuing
Print_ISBN
978-7-900714-13-8
Electronic_ISBN
978-7-900714-13-8
Type
conf
DOI
10.1109/DRPT.2008.4523519
Filename
4523519
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