DocumentCode :
3420193
Title :
Hybrid algorithm based on artificial fish swarm algorithm and tabu search in distribution network reconfiguration
Author :
Gao Zhong-hui ; Ding Jian-yong ; Liu Heng
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
Volume :
5
fYear :
2010
fDate :
25-27 June 2010
Abstract :
This paper proposed a distribution network reconfiguration algorithm based on artificial fish swam algorithm (AFSA) and tabu search (TS). The proposed algorithm combines the wide-area search capability of AFSA and the local optimization capability of TS, effectively overcomes the lack of using a single optimization algorithm, and improves the global optimization ability by using homeomorphism graph theory to compress the global search space. The new algorithm is applied in two testing cases with different node numbers and is compared with other algorithms; meanwhile, the parameters of algorithm are discussed in depth. The results show that the proposed algorithm is advantaged in convergence efficiency, global search ability and stability.
Keywords :
distribution networks; optimisation; search problems; artificial fish swarm algorithm; convergence efficiency; distribution network reconfiguration; global optimization ability; global search ability; global search space; homeomorphism graph theory; hybrid algorithm; local optimization capability; node numbers; single optimization algorithm; tabu search; wide-area search capability; Algorithm design and analysis; Computer networks; Design optimization; Distributed computing; Graph theory; Heuristic algorithms; Home computing; Marine animals; Testing; Voltage; artificial fish swarm algorithm (AFSA); distribution network reconfiguration; homeomorphism graph; tabu search (TS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
Type :
conf
DOI :
10.1109/ICCDA.2010.5540944
Filename :
5540944
Link To Document :
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