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Title: Optimal Planning of a Load Transfer Substation Pair between Two Normally Closed-Loop Feeders Considering Minimization of System Power Losses Using a Genetic Algorithm
Authors: Huang, Wei-Tzer;Yao, Kai-Chao;Chen, Shiuan-Tai;Nien, Hsiau-Hsian;Lin, Deng-Chung;Huang, Po-Tung
Contributors: 工業教育與技術學系
Keywords: Distribution feeder;Normally closed-loop feeder;Distribution substation;Genetic algorithm;Power losses
Date: 2010-12
Issue Date: 2012-08-07T01:19:17Z
Publisher: IEEE
Abstract: This paper proposes an effective approach for planning a load transfer substation pair(LTSP) between two normally closed-loop feeders considering minimization of system power losses. Firstly, the annual equivalent load of each load point is calculated. Then, a genetic algorithm-based (GABased) approach has been proposed to solve this optimization problem. The objective is minimization of the annual system
power losses. Finally, the optimal LTSP was chosen considering minimizing annual system power losses and the maximum voltage drops at each bus as well as ampere capacities of each feeder segment. The method presents in this paper are valuable to distribution engineers for planning the
LTSPs between normally closed-loop feeders.
Relation: 2010 Fourth International Conference on Genetic and Evolutionary Computing, Shenzhen, December 13-15, 2010
Appears in Collections:[Department of Industrial Education and Technology] Proceedings

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