Abstract: Currently, the research on V2G load temporal and spatial distribution forecast mainly focuses on charging load, with less consideration for discharging. A V2G discharging load temporal and spatial distribution forecast method is proposed, from the aspect of traffic planning. Based on city parking demand model, parking characteristics of EVs in industrial/commercial and residential areas are analyzed and V2G load capacity model is built. Also, forecast method based on Monte Carlo simulation is given. Finally, taking a city for a computing example, V2G load characteristics in industrial/commercial and residential areas are analyzed. Meanwhile, it is given how V2G load is impacted by reserve driving capacity, charging and discharging power, and daily average driving range.