Multi-Objective Optimal Operation Model of Customer-Side Integrated Energy System

Customer-side integrated energy system energy efficiency improvement is an effective path to achieve China's dual carbon goal. The current research on energy efficiency optimization of customer-side integrated energy systems is relatively single, and only model optimization is carried out unilaterally for high efficiency or combining high efficiency with economy. Based on this, this paper constructs a customer-side integrated energy system energy efficiency optimization operation model with three objective functions economy, environmental protection, and high efficiency. A typical industrial scenario containing electricity-heat-gas-cooling load is selected for example analysis, and the objective is solved by particle swarm algorithm and NSGA-II algorithm and compared for analysis, and the optimal total cost under the typical industrial scenario is calculated to be about 46 million RMB. It provides a reference for related parties to explore the optimization and enhancement of customer-side integrated energy system operation from multiple perspectives and also enriches the research results in the field of energy efficiency of customer-side integrated energy systems in China.