Optimization scheduling strategy of integrated energy system based on improved particle swarm optimization algorithm

In this paper, the integrated energy system with the goal of system economy is studied and analyzed and the optimal scheduling strategy of the integrated energy system is proposed under the condition of minimum operation cost. Firstly, considering the characteristics of electric cooling and heat system when different energy sources are co-supplying energy, the system optimization model of gas internal combustion engine, gas turbine and other units is established. Secondly, the improved particle swarm optimization algorithm is used to solve the system. Finally, the scheduling strategy to minimize the operation cost of the integrated energy system is given. The simulation results show that the proposed scheduling strategy and optimization method can effectively reduce the system operation cost and provide an early basis for the future planning of power supply system.