Optimal scheduling strategy for electric vehicle charging and discharging in different types of buildings based on vehicle-to-building

The application of vehicle-to-building (V2B) technology to integrate photovoltaic charging stations (PVCS) with smart building microgrids has gradually emerged as a new low-carbon operation model in the electric vehicle (EV) energy supply industry. The disordered integration of a large number of EVs into the power grid has caused numerous safety issues for building microgrids. Considering that buildings suitable for the construction of PVCS are primarily concentrated in residential, office, and commercial areas, this study proposes an optimized scheduling strategy for the charging and discharging of electric vehicles that considers different types of buildings. First, a PV-building-EV integrated system based on V2B is established. Probability distribution models of EV travel characteristics for different regions are obtained through actual data fitting, and unordered charging load curves for each region are derived by incorporating the Monte Carlo sampling method. On this basis, considering the interest of the building microgrids, PVCS operators, and EV users, a multi-objective optimization scheduling model for orderly EV charging and discharging based on V2B is established. Finally, the improved Non-dominated Sorting Genetic Algorithm II validates the model's effectiveness.