Demand response of photovoltaic electric vehicle charging stations based on weather-impact risk assessment
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School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, P. R. China

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Supported by the Qatar National Research Fund (NPRP 8-241-2-095).

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    Abstract:

    In the context of achieving “carbon peak and carbon neutrality” target in China, renewable energy is gradually taking the dominant role and the number of electric vehicle (EV) is growing significantly. The photovoltaic (PV) EV charging stations will play an important role in demand response of EV. This paper proposes a demand response plan of PV charging stations for EVs under the influence of weather based on risk assessment. According to the “predictive-preventive-corrective” framework, firstly, a risk map is produced by integrating and analyzing the multi-layer spatial-temporal data combing the GIS data of power grid and weather. Next, risk assessment considering the impact of the predicted weather on the customers is performed, the operating cost of PV charging station including the charging/discharging expense is modeled, and the day-ahead reserve market participation strategy of the aggregated resources is optimized. Finally, demand side management and outage management involving PV and charging/discharging of EVs are discussed and case studies are carried out. This paper effectively predicts and visualizes the weather impact on the electricity users, and verifies the roles of PV EV charging stations on mitigating the negative impact of weather on the power supply.

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颜勤,涂晓帆.天气影响下基于风险评估的电动汽车光伏充电站需求响应[J].重庆大学学报,2023,46(4):37~45

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History
  • Received:February 14,2022
  • Revised:
  • Adopted:
  • Online: May 12,2023
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