Title :
Multi-stage reactive power programming using genetic algorithm
Author :
Zhao, Xin ; Gao, Shan
Author_Institution :
Sch. of Electr. Eng., Southeast Univ., Nanjing
Abstract :
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.
Keywords :
genetic algorithms; integer programming; investment; reactive power; dynamic programming; genetic algorithm; mixed integer programming problem; multistage reactive power programming; Capacitors; Costs; Dynamic programming; Genetic algorithms; Investments; Linear programming; Power system dynamics; Power systems; Reactive power; Voltage; dynamic programming; genetic algorithm; multi-stage problem; policy; reactive power programming;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523639
