Title :
Genetic algorithm associated to game theory in congestion management
Author :
Saguan, M. ; Plumel, S. ; Dessante, P. ; Glachant, J.M. ; Bastard, P.
Abstract :
This paper describes a genetic algorithm approach to deal with congestion management in the context of a "counter-trading" based method. The originality of this work is that a Nash-Cournot equilibrium is determined to assess the behavior of the various electricity producers connected to a transmission system. The congestion management is computed using a complete transmission grid model so that the active power is considered, as well as the reactive one. Numerical examples based on a 12 bus network are presented, including multifirm Nash-Cournot equilibrium results.
Keywords :
game theory; genetic algorithms; numerical analysis; reactive power; transmission networks; 12 bus network; Nash-Cournot equilibrium; active power; congestion management; counter-trading; electricity producers; game theory; genetic algorithm; numerical analysis; reactive power; transmission system; Constraint optimization; Context modeling; Energy management; Game theory; Genetic algorithms; Grid computing; Optimization methods; Power generation; Power system management; Pricing;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9
