Equipment Configuration Optimization for Integrated Energy System Based on Improved NSGA-II

In order to solve the problem of equipment configuration related to integrated energy systems, a multi-objective integrated energy system equipment configuration optimization design method is proposed. The basic architecture of the parks integrated energy system, which includes all possible candidate equipment, is formed based on configurable energy types and associated energy conversion types. On this basis, the equipment capacity allocation optimization model of the integrated energy system with the primary energy utilization rate and investment return period as the objective function is established. Then, an improved NSGA-II algorithm is used to solve the problem of equipment configuration optimization in the integrated energy system, which is to improve the equipment allocation while improving the primary energy utilization rate. Meanwhile, the proposed method can optimize the equipment configuration and realize the Pareto decision surface search of the multi-objective optimization problem. Finally, an example of a commercial and residential mixed area in Nanjing is used to verify the effectiveness of the proposed method.