Phase balancing using genetic algorithm

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...

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Bibliographische Detailangaben
1. Verfasser:	Gandomkar, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Computational modeling Cost function Electrical engineering. Electrical power engineering Electrical power engineering Energy loss Exact sciences and technology Genetic algorithms Large-scale systems Linear programming Load flow Miscellaneous Optimization methods Power networks and lines Simulated annealing Voltage
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Beschreibung
Zusammenfassung:	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.