A microgrid scheduling method based on Evolutionary Game

Abstract

Abstract In order to solve constrained scheduling problem in microgrid. A micrgrid scheduling method based on evolutionary game is proposed in this paper. Further more, a renewable energy and traditional energy generators group with different cost functions was studied as an example. The results show that evolutionary game method proposed in this paper has higher accuracy and stability than the existing artificial fish swarm optimization algorithm (AFS). In the scheduling model of microgrid, the optimized cost of power supply has been reduced by 2%.