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Chinese Journal of Management Science ›› 2023, Vol. 31 ›› Issue (4): 161-170.doi: 10.16381/j.cnki.issn1003-207x.2020.2127

• Articles • Previous Articles    

Research on Electric Vehicle Charging Optimization Considering Distributed Photovoltaic Power Generation

CHEN Hao-ran, ZHAO Xiao-li   

  1. School of Economics and Management, China University of Petroleum, Beijing 102200, China
  • Received:2020-11-20 Revised:2021-07-22 Published:2023-05-06
  • Contact: 赵晓丽 E-mail:email99zxl@vip.sina.com

Abstract: Promoting the development of renewable energy is an important way to mitigate climate change. However, the output of renewable energy is fluctuating. When renewable energy grows in a large amount, it will bring challenges to the operation of the power grid. At the same time, with the rapid development of electric vehicles, it will also bring risks when a large number of electric vehicles are connected to the grid. Therefore, the charging strategy can be used to schedule the charging behavior of electric vehicles to promote the consumption of renewable energy. How to optimize the charging behavior of electric vehicles, smooth the grid load and promote the consumption of distributed photovoltaics is studied. The Monte Carlo simulation method and the travel characteristic data of private cars, taxis and buses are used in this research to analyze the electric vehicle charging strategy in Beijing.

Key words: electric vehicle; distributed photovoltaic; collaborative optimization; electricity price strategy; centralized control strategy

CLC Number: