Title :
Phase balancing using genetic algorithm
Author_Institution :
Islamic Azad Univ., Saveh, Iran
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;
Conference_Titel :
Universities Power Engineering Conference, 2004. UPEC 2004. 39th International
Print_ISBN :
1-86043-365-0
