Research on optimization operation strategy of distributed energy system based on ε-constraint method

The operation mode of following electricity strategy and the operation mode of following thermal strategy lack detailed analysis, including the scheduling mechanism, typical application scenarios, execution process, and the impact of scheduling methods on the configuration and utilization of energy equipment. Therefore, it is necessary to study the optimal operation strategy of distributed energy system. Optimization operation Strategy of a distributed energy station in Guangxi, China was investigated. In this paper, an optimal scheduling method for system economy, environmental protection and energy efficiency was proposed by constructing an optimal scheduling method considering variable operating conditions by using ε-constraint method. The results show that the optimization method proposed takes into account the variable working condition characteristics of the refrigeration equipment, so that the refrigeration equipment can meet the cooling load requirements and operate under better working conditions. The cooling and heating loads are satisfied and the energy utilization rate is improved by coordinating the output of hot water type lithium bromide refrigerator and waste heat boiler. The optimization method saves 42,000 yuan of operating cost for the distributed energy system, reduces 41.7 tons of carbon dioxide, increases the primary energy utilization rate by 2.557%, and effectively improves the economic benefits and environmental benefits. This study provides an important reference for mastering the optimization operation strategy of distributed energy system with complex energy flow.