Optimization Model for Microgrid Control of Electric Vehicle Clusters

To enhance the renewable energy absorption capacity of microgrids, this paper proposes a novel microgrid regulation model that fully considers the impact of electric vehicle (EV) clusters on the system. Initially, a Markov chain is employed to establish a behavior model for EVs, thoroughly evaluating the schedulable capacity of the charging station clusters and defining the regulation scope of the EV clusters. Subsequently, a microgrid scheduling model that incorporates EVs is developed to derive the optimal microgrid scheduling scheme. Finally, a simulation experiment is conducted using a real microgrid. The experimental results demonstrate that the proposed scheme can effectively reduce load fluctuations and improve the absorption capacity of renewable energy.