Journal of Electrical Engineering ›› 2015, Vol. 10 ›› Issue (8): 22-28.

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Temporal and Spatial Distribution Forecast for V2G Discharge Load Based on Parking Demand Model

Liu Xiaofei1,Cui Shumei1,Xie Fuhong1,Xu Shiming2   

  1. 1.Harbin Institute of Technology Harbin 150001 China
    2.State Grid Electric Power Research Institute Nangjing 211000 China
  • Received:2015-03-24 Online:2015-08-25 Published:2015-08-25

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.

Key words: Electric vehicle, V2G discharge load, temporal and spatial distribution forcast, parking demand model

CLC Number: