| （英） |
In recent years, the use of electric vehicles (EVs) and renewable energy has been expanding in efforts to realize a decarbonized society. Vehicle to grid (V2G) technology, which leverages these resources to ensure stable power supply, has attracted significant attention. V2G aims to balance energy supply and demand by using EVs as batteries --- storing electricity to EVs when electric power generation is surplus and supplying electricity from EVs when the generation is insufficient. For V2G to maintain supply-demand stability, efficient power trading among EV users is essential. However, conventional methods focus on platforms where users can trade after finding each other, and there is still a challenge in developing an effective matching method for users wishing to trade electricity. This paper proposes a method to collect information such as EV routes, battery levels, and energy consumption, and to generate a power demand prediction map for each time period to facilitate matching. The proposed method is expected to stabilize the overall balance of supply and demand in the market. |