DocumentCode
2623007
Title
Application of Ant Colony System algorithm to distribution networks reconfiguration for loss reduction
Author
Ghorbani, M.A. ; Hosseinian, S.H. ; Vahidi, B.
Author_Institution
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
fYear
2008
fDate
22-24 May 2008
Firstpage
269
Lastpage
273
Abstract
Optimal load distribution among the power distribution substation feeders is one of the most important and least expensive operational tools to lower the losses. For this purpose, the state of the network switches (open/closed) should be determined such that the load switched from the heavily loaded feeders to the lightly loaded ones and in the meantime the operational constraints and radial nature of the network are not violated. In this paper, the ant colony system (ACS) algorithm is used to solve this problem. here, the artificial ants would be able to find the best possible solution by using the information in the form of pheromones poured in the path they travel. A new strategy for switch selection by ants is proposed in this paper. At the end, in order to check the capability of this approach, three different networks cited in the literature are studied and the comparison of results is included.
Keywords
distribution networks; optimisation; ant colony system algorithm; artificial ants; distribution networks reconfiguration; loss reduction; optimal load distribution; power distribution substation feeders; radial distribution network; Ant colony optimization; Artificial neural networks; Automation; Power distribution; Power generation economics; Protection; Substations; Switches; System testing; Voltage; Radial distribution network; ant colony system; reconfiguration;
fLanguage
English
Publisher
ieee
Conference_Titel
Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on
Conference_Location
Brasov
Print_ISBN
978-1-4244-1544-1
Electronic_ISBN
978-1-4244-1545-8
Type
conf
DOI
10.1109/OPTIM.2008.4602377
Filename
4602377
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