Electronic Science and Technology ›› 2022, Vol. 35 ›› Issue (2): 74-78.doi: 10.16180/j.cnki.issn1007-7820.2022.02.012

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Research on EV Modeling in V2G Mode

JIANG Chengcheng,ZHU Jian'an,ZHU Chengming,WANG Ke,ZHANG Wenjun   

  1. School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China
  • Received:2020-10-09 Online:2022-02-15 Published:2022-02-24
  • Supported by:
    National Natural Science Foundation of China(51507157);Innovation Project of Shanghai University of Engineering Science(19KY0206)

Abstract:

The continuous expansion of grid-connected wind power has brought considerable challenges to power system's stable operation. In response to the increasing demand for SR, a method using EV as SR scheduling is proposed. This study analyzes and simulates the charging and discharging characteristics of EV, and uses cost-benefit analysis to establish an objective function that minimizes the sum of system power generation costs, backup costs, and EV dispatch costs. The EV in V2G mode is stimulated through Monte Carlo simulation. With consideration of the time-of-use price strategy, the optimal charging and discharging period is determined, and the EV charging and discharging curve in V2G way is drawn. Based on the SR provided by thermal power units, different scenarios are divided based on whether the EV participates in scheduling as an SR. Finally, through the comparative analysis of the total operating cost and the probability of load loss of the units in different scenarios in the calculation example, the scientificity and feasibility of EV as SR scheduling are verified.

Key words: grid-connected wind power, electric vehicle, charge and discharge, spinning reserve, Monte Carlo, V2G, dispatch, unit

CLC Number: 

  • TP11