DocumentCode
3561602
Title
Phase balancing using genetic algorithm
Author
Gandomkar, M.
Author_Institution
Islamic Azad Univ., Saveh, Iran
Volume
1
fYear
2004
Firstpage
377
Abstract
Unbalanced loads and feeders increase power system investment and operating costs. Single-phase lateral load phase swapping is one of the most popular methods to balance the systems. Phase swapping is a large-scale combinatorial optimization problem and it is necessary to apply a proper optimization method. In this paper, a genetic algorithm (GA) is used to solve the phase swapping problem for single-phase loads. An example is used to illustrate the proposed method.
Keywords
combinatorial mathematics; genetic algorithms; power distribution control; power engineering computing; GA; genetic algorithm; large-scale combinatorial optimization; operating costs; phase swapping; power system investment; single-phase lateral loads; Computational modeling; Cost function; Energy loss; Genetic algorithms; Large-scale systems; Linear programming; Load flow; Optimization methods; Simulated annealing; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference, 2004. UPEC 2004. 39th International
Print_ISBN
1-86043-365-0
Type
conf
Filename
1492029
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