Abstract：

In order to investigate the impact of different electricity price policies and future electricity price changes on the application value and potential of vehicle-to-building (V2B) technology, this paper utilizes the mixed integer linear programming (MILP) algorithm to optimize the operation strategy of electric vehicles. Taking a typical office building as a case study and selecting two typical electricity price policies as representatives, the application effect and interaction law of V2B technology under different electricity price conditions are analysed, and the application potential of V2B technology under possible future electricity price policy changes is further explored. The results show that V2B technology exhibits significant cost-saving effects under different electricity price policies, which can reduce the economic cost by 36.96% to 43.53%. Meanwhile, with the further increase of peak-valley difference in electricity price in the future, its economic benefits will be further enhanced. When the peak-valley difference increases by 10% to 30%, the cost-saving effect can be increased by 15.11% to 19.37%. When the cost of charging piles decreases by 10%, the cost-saving effect can be increased by 4.8%. In addition, the study also finds that V2B technology shows higher economic adaptability and application advantages in scenarios with large electricity price peak-valley differences.

Keywords:electric vehicle; building microgrid; optimal scheduling; electricity price policy; economic analysis