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
Link To Document :
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