Abstract:

Combined Cooling Heating and Power (CCHP) is an important measure for industrial parks and building users to achieve dual carbon goals in their energy utilization process. Aiming at the impact of energy imbalance, equipment coupling, grid connection and online access mode in CCHP system, this paper constructs a CCHP system with battery energy storage system and water tank thermal storage system, and establishes a multi-objective optimization function of CCHP system energy management strategy with operating cost and fuel consumption as the target; on this basis, the influence of constraints and congestion operator on the search performance of non-dominated sorting genetic algorithm (NSGA-II) is considered, and the improved NSGA-II algorithm is used to realize the optimization solution of CCHP system energy management strategy. The results show that in the grid-connected and online mode, the CCHP system with composite energy storage can save 0.88% and 2.16% of daily operating cost and fuel consumption respectively on typical days in summer compared with the CCHP system without energy storage; it can save 27.7% and 7.31% respectively on typical days in winter, and the annual operating cost and annual total energy consumption can be reduced by 11.5% and 4.7% respectively. It can be seen that the energy management strategy of the CCHP system with composite energy storage obtained based on the improved NSGA-II algorithm has good energy regulation performance.Combined Cooling Heating and Power (CCHP) is an important measure for achieving dual carbon goals in the energy utilization process of industrial, commercial and building users. Aiming at the influence of energy imbalance, equipment coupling, grid-connected and online mode of CCHP system, this paper constructs a CCHP system with battery energy storage system and water tank thermal storage system, and establishes a multi-objective optimization function of CCHP system energy management strategy with operating cost and fuel consumption as the target; on this basis, the influence of constraints and congestion operator on non-dominated sorting genetic algorithm (NSGA-II) is considered, and the improved NSGA-II algorithm is used to realize the optimization solution of CCHP system energy management strategy. The results show that under the grid-connected and power export, the annual operating cost of the energy management strategy of CCHP system with composite energy storage can be reduced by 11.5%, and the annual total energy consumption can be reduced by 4.7%, which has better energy management performance.

Key words: combined cooling, heating and power, grid connection and power export, composite energy storage, improved NSGA-II algorithm