Optimization Scheme of Load Transferring Path for Distribution Network

For the power distribution network load transferring path optimization problem, this paper focuses on optimization scheme of load transferring path based on the fast non-dominated storing genetic algorithm (NSGA-II) with elitist strategy, this proposed method can avoid the selection of weight and th...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 494-495; no. Current Development of Mechanical Engineering and Energy; pp. 1656 - 1659
Main Authors Guo, Li Ping, Bai, Xin Lei, Liu, Liang Ze
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 06.02.2014
Subjects
Algorithms
Distribution management
Entropy
Fuzzy sets
Mathematical models
Networks
Optimization
Strategy
NSGA-II
Fuzzy Membership Grade
Entropy
Distribution Network
Load Transferring
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Summary:For the power distribution network load transferring path optimization problem, this paper focuses on optimization scheme of load transferring path based on the fast non-dominated storing genetic algorithm (NSGA-II) with elitist strategy, this proposed method can avoid the selection of weight and the preference of the solution, and the solution sets can highlight the essence of optimization problems, then the fuzzy theory and the entropy weight are employed to extract the comprehensive optimal solution. IEEE33 node system simulation results verify the effectiveness of the model and algorithm.
Bibliography:Selected, peer reviewed papers from the 2013 International Symposium on Vehicle, Mechanical, and Electrical Engineering (ISVMEE 2013), December 21-22, 2013, Taiwan, China
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ISBN:3038350036
9783038350033
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.494-495.1656