Study and Simulation of Combined Cooling Heating and Power System in an Industrial Park

In view of the large demand of energy in the industrial park and the collection of multiple loads such as cooling, heating and power, although the energy supply method of traditional industrial parks can ensure the stability of the park’s energy supply, it cannot achieve more reasonable and effective use of energy. This paper applied the risk-return model in the condition value at risk to the power purchase and sale decision of industrial parks, and obtained the comprehensive electricity price for the electricity market. According to the industrial park’s load curve, a mathematical model of the Combined Cooling, Heating and Power system was established. The improved particle swarm algorithm was adopted to solve the comprehensive electricity price fluctuations and energy price uncertainty. Through the simulation and analysis, the park equipment capacity configuration was optimized, the simulation accuracy was improved, and the environmental protection, economy and efficiency of the cooling, heating and power cogeneration system was verified. The simulation of energy utilization efficiency with or without energy storage devices showed that the configuration of energy storage in industrial parks can effectively reduce energy waste and improve the stable operation of industrial parks.