• 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 ›› 2019, Vol. 40 ›› Issue (3): 34-41.doi: 10.3969/j.issn.1000-7229.2019.03.005

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Energy Storage Sizing Method Considering V2G Response Capability

CHEN Jiamin , XU Yonghai, ZHANG Xueyin   

  1. State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
  • Online:2019-03-01
  • Supported by:
    This work is supported by Beijing Natural Science Foundation(No.3172036).

Abstract: Utilizing vehicle to grid (V2G) technology, electric vehicles (EVs) can behave as mobile energy storage units to participate in power grid operation. Due to the traffic behavior characteristics, the V2G response capability boundaries of EV considering time, energy and battery restraint are constructed. Then,the electric vehicles connected to the grid are divided into two types: responsive and non-responsive. Finally, time-limit V2G response capability forecast models for EV and EV groups are established. On the other side,the value-at-risk(VaR) method is introduced into the sizing of energy storage capacity, and a reliability-at-risk(RaR) model is established to calculate the storage capacity under a certain reliability confidence level. The methods proposed in this paper are applied and verified in the examples.

Key words: electric vehicles, V2G response capability, Monte Carlo, energy storage, value-at-risk (VaR), reliability

CLC Number: