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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Veröffentlicht in:2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies S. 1484 - 1487
Hauptverfasser: Xin Zhao, Shan Gao
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.04.2008
Schlagworte:
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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Zusammenfassung: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