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

Abstract

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 complete consumption of renewable energy sources is achieved.

Description

technical field [0001] The invention belongs to the technical field of integrated energy system optimal dispatching, and specifically relates to a non-cooperative game-based integrated energy system optimal dispatching method. Background technique [0002] The integrated energy system uses a variety of energy sources with different operating characteristics, effectively promotes the complementary advantages and coordinated utilization of energy sources, improves energy utilization efficiency, reduces environmental pollution hazards of traditional energy systems, and achieves the goal of reducing costs. The National Energy Administration clearly stated in the "Implementation Opinions on Promoting the Construction of Multi-Energy Complementary Integration and Optimization Demonstration Projects" that "multi-energy complementarity and coordination should be realized through natural gas, combined heating, power, and cooling, distributed renewable energy, and energy smart microgri...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a non-cooperative game-based comprehensive energy system optimization scheduling method, which overcomes the defect that the existing optimization method does not fully consider the competitive relationship of each energy system, and realizes the complete consumption of renewable energy.

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