Optimization configuration method for energy storage capacity of electric vehicles connected to distribution networks based on RIME algorithm

In the process of optimizing the configuration of energy storage capacity for electric vehicles connected to the distribution network, it is necessary to consider a balance between economic and environmental benefits. To optimize energy storage capacity, reduce lifecycle costs, and improve energy utilization efficiency, a method based on the RIME algorithm for optimizing the configuration of energy storage capacity for electric vehicle access to distribution networks is proposed. Considering the economic benefits of electric vehicle integration into the distribution network, three optimization objective functions are selected: full life cycle cost, renewable energy power change, and tie line utilization rate. Constraints that meet the objective factors are set to achieve the optimal objective factor. A model for optimizing the energy storage capacity of electric vehicle integration into the distribution network is constructed. Using the RIME algorithm to solve the optimization configuration model for the energy storage capacity of electric vehicles connected to the distribution network, in order to obtain the optimal configuration results. The experimental results show that the proposed method has a good optimization effect on the energy storage capacity configuration of electric vehicle access to the distribution network, and can effectively improve the energy storage configuration capacity of electric vehicle access to the distribution network.