DocumentCode
1181110
Title
A Novel ACS-Based Optimum Switch Relocation Method
Author
Teng, J. H. ; Liu, Y. H.
Author_Institution
I-Shou University; Energy Resource Labs., ITRI
Volume
22
Issue
12
fYear
2002
Firstpage
60
Lastpage
61
Abstract
A cooperative agent algorithm, the ant colony system (ACS), for optimum switch relocation is proposed. Switch relocation is a useful tool for distribution automation, since it can reduce the interruption costs without additional capital investments. The formulation of switch relocation is a combinatorial optimization problem with nonlinear and nondifferential objective function. The authors choose the ACS to solve the problem since it has the characteristics of positive feedback, distributed computation, and the use of a constructive greedy heuristic. One of the main goals of this paper is to investigate the applicability of the ACS-based algorithm in the power system optimization problems. Test results show that the proposed ACS-based algorithm can offer a near-optimum solution for switch relocation. The comparisons of the proposed method with a genetic-algorithm-based method are also shown in the test results to demonstrate the values of the proposed method.
Keywords
Circuit breakers; Genetic algorithms; Observability; Phasor measurement units; Power generation; Sorting; State estimation; Switches; Wind energy; Wind energy generation; Ant colony system; customer interruption cost; distribution automation; genetic algorithm; reliability improvement; switch relocation;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/MPER.2002.4311910
Filename
4311910
Link To Document