Multi-objective Optimal Dispatch of Microgrid Based on Game Artificial Intelligence

This paper proposes a scheduling strategy for energy storage devices under the time-of-use electricity price mechanism based on game artificial intelligence, and uses an improved NSGA-II algorithm to optimize the output of controllable micro-sources and energy storage devices. Taking a microgrid unit in a certain area as an example, the simulation verifies the effectiveness of the built model and the improved algorithm. The test results show that the performance of the improved NSGA-II algorithm is better, and the proposed strategy can control the number of charge and discharge of the energy storage device in one cycle and extend the service life by 12%.