DocumentCode :
570487
Title :
An improved ant colony search algorithm for reconfiguration of distribution network with distributed generations
Author :
Gang, Wang ; Li, Liu ; Zhang, Tieyan
Author_Institution :
Dept. of Electr. Eng., Shenyang Inst. of Eng., Shenyang, China
fYear :
2012
fDate :
21-24 May 2012
Firstpage :
1
Lastpage :
4
Abstract :
As a global optimization method based on probability, Ant Colony Search (ACS) algorithm is suitable for solving combinatorial optimization problem of Complex system. According to the weakly mesh structure feature of the distribution containing distributed generations (DG), the paper finds the ratio of the capacity of DG, load and the number of ants in the area of distributed generations supply, especially the ratio of DG is “negative”. Considering the constraint condition of voltage, the network of this area is first reconfigured in order to offset the effect of DG. In the end, the traditional ACS algorithm is used to analyze the rest of network. Plenty of simulations with IEEE 33 buses system are carried out to illustrate the performance of the proposed method. Test result verifies the feasibility of the proposed algorithm.
Keywords :
IEEE standards; combinatorial mathematics; distributed power generation; optimisation; probability; search problems; DG capacity; IEEE 33 buses system; combinatorial optimization problem; distributed generations; distributed generations supply; distribution network reconfiguration; global optimization method; improved ACS algorithm; improved ant colony search algorithm; probability; Algorithm design and analysis; Distributed power generation; Load flow analysis; Optimization; Search problems; distributed generation; distribution network reconfiguration; improved ant colony algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
Type :
conf
DOI :
10.1109/ISGT-Asia.2012.6303314
Filename :
6303314
Link To Document :
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