• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (12): 56-65.doi: 10.12204/j.issn.1000-7229.2022.12.006

• Planning and Design • Previous Articles     Next Articles

Research on Low-Carbon Optimization Strategy of Regional Power Supply Based on Large-Scale V2G

TAN Qinliang1,2,3(), GUO Mingxin1(), LIU Yuan1(), HAN Jian1(), MEI Shufan1(), DING Yihong1()   

  1. 1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
    2. Research Center for Beijing Energy Development, Beijing 102206, China
    3. Beijing Key Laboratory of Renewable Electric Power and Low Carbon Development, North China Electric Power University, Beijing 102206, China
  • Received:2022-04-12 Online:2022-12-01 Published:2022-12-06
  • Contact: TAN Qinliang E-mail:tan.qinliang1@gmail.com;878118840@qq.com;clarencely517@163.com;hj19940929@163.com;524053493@qq.com;dingyh0528@163.com
  • Supported by:
    National Natural Science Foundation of China(71874053)


The increase of the proportion of renewable energy will reduce the flexibility, increase the economic cost, and have an impact on the stability of power grid operation. With the expansion of the scale of electric vehicles, their large-scale access to the power grid will also affect the stability of the power grid due to charging uncertainty. The implementation of vehicle to grid (V2G) technology makes it possible for electric vehicles to participate in peak-shaving auxiliary services on a large scale, so it should be included in the future power system planning. Aiming at large-scale electric vehicles participating in peak shaving, this paper focuses on the influence of seasonal factors on electric vehicles participating in V2G output. In the research process, a multi-objective programming model is established to minimize the system operation cost, minimize the load fluctuation on the grid side and maximize the economic benefits on the user side, so as to optimize the power supply structure, reduce the carbon emission on the power supply side and improve the overall economic benefits of the system. Taking Hebei Province of China as an example, different scenarios are set for research and analysis. The results show that, when the participation ratio of V2G is 70% in the planning period, the result is the best, and the carbon emission on the power side is effectively reduced by 3.45%. The consumption of wind and solar energy can be increased by 10.18%, promoting the transformation of power structure.

Key words: power planning, V2G, carbon peak, renewable energy, multi-objective optimization, peak-shaving and valley-filling

CLC Number: