Multi-stage reactive power programming using genetic algorithm

Reactive power programming is a multistage multi-objectives mixed integer programming problem. In this paper, a two steps procedure is proposed to solve the reactive power programming problem. First, a genetic algorithm is adopted aimed at minimizing the cost of power loss and investment at each sta...

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Vydáno v:	2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies s. 1484 - 1487
Hlavní autoři:	Xin Zhao, Shan Gao
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.04.2008
Témata:	Capacitors Costs Dynamic programming genetic algorithm Genetic algorithms Investments Linear programming multi-stage problem policy Power system dynamics Power systems Reactive power reactive power programming Voltage
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Popis
Shrnutí:	Reactive power programming is a multistage multi-objectives mixed integer programming problem. In this paper, a two steps procedure is proposed to solve the reactive power programming problem. First, a genetic algorithm is adopted aimed at minimizing the cost of power loss and investment at each stage. Then a dynamic programming is adopted aimed at finding the optimal policy of the whole stages. Results are presented of applying the proposed methodology to several power systems.
DOI:	10.1109/DRPT.2008.4523639