DocumentCode
2540355
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
Author
Huang, Wei-Tzer ; Yao, Kai-Chao ; Chen, Shiuan-Tai ; Nien, Hsiau-Hsian ; Lin, Deng-Chung ; Huang, Po-Tung
Author_Institution
Dept. of Electr. Eng., Chienkuo Technol. Univ., Changhua, Taiwan
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
453
Lastpage
456
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 (GA-Based) 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.
Keywords
genetic algorithms; load distribution; power distribution planning; substations; ampere capacity; annual equivalent load; annual system power loss minimization; distribution engineer; genetic algorithm; load transfer substation pair planning; normally closed-loop feeder; Circuit breakers; Circuit faults; Cities and towns; Mathematical model; Optimization; Planning; Substations; distribution feeder; distribution substation; genetic algorithm; normally closed-loop feeder; power losses;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-8891-9
Electronic_ISBN
978-0-7695-4281-2
Type
conf
DOI
10.1109/ICGEC.2010.119
Filename
5715467
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