Comprehensive energy system optimization scheduling method based on non-cooperative game

The invention aims to provide a comprehensive energy system optimal scheduling method based on a non-cooperative game. The method comprises the following steps of: applying a non-cooperative game theory in scheduling, and establishing a comprehensive energy system scheduling model based on a non-cooperative game; acquiring parameters; giving a particle initial value, and solving the comprehensive energy system scheduling model based on the non-cooperative game by combining Nash equilibrium definition with a particle swarm optimization algorithm; making an output scheme decision in the ith cycle according to the utility function; judging whether the solving result in the step 3 is a Nash equilibrium solution or not; and outputting the finally calculated Nash equilibrium solution, namely the optimal optimization scheduling scheme of each energy system. According to the method, the defect that an existing optimization method does not fully consider the competition relation of all energy systems is overcome, and