Operation Optimization of CCHP System Based on Improved PSO Algorithm

With the rapid development of the world economy, all countries are faced with energy shortage and environmental pollution. The traditional energy system is centralized and large-scale, the transmission and distribution system is complex, and the adaptability and reliability are not high. Combined Cooling Heating and Power (CCHP) system has been widely promoted and paid attention to because of its advantages of improving energy utilization, energy saving and emission reduction. In this paper, a single-objective optimal scheduling model for the CCHP system of an energy station is established, and the shortcomings of the simple particle swarm optimization (PSO) are improved. Using simple particle swarm optimization and improved particle swarm optimization to optimize and solve the joint supply system, the daily operating cost of the joint supply system after optimization is greatly reduced compared with that before the optimization, and the daily operating cost of the improved particle swarm optimization algorithm is the lowest. The advantages of the CCHP generation system in energy saving and emission reduction are verified.