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With the increase of electric vehicles in the automobile market, vehicle to grid technology has drawn a lot of attention from researchers and industry personnel. The fast charging/discharging of batteries in EVs can be used to compensate supply–demand –load imbalance in the system. The paper focuses on the impact of EVs on the system frequency to improve the dynamic performance of the LFC system. This paper uses EVs as an energy source in V2G conditions and a load during G2V. The PID and fuzzy logic controllers were developed, and their performance was compared. Fuzzy rules are used in the PID Fuzzy Controller to adapt the control action based on the linguistic variables associated with the error and its rate of change. This enables improved frequency regulation and reduced deviations compared to the PID controller. According to the simulation results, it will be possible to prevent system frequency variations and comply with demand charges by selecting an appropriate value for the PID controller. A mobile storage device can be utilized with an electric vehicle (EV) as a specialized electricity load to assist in power grid load balancing and provide a platform for coordinating renewable energy sources.

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Optimal Operation of Electric Vehicles for Frequency Regulation

  • 会议论文

  • 发表日期：

    2026年

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  • Kumar Shantanu,
  • Parul Verma,
  • Parvez Ahamad,
  • Nitin Singh,
  • Niraj Kumar Choudhary,
  • Navneet Kumar Singh

摘要

With the increase of electric vehicles in the automobile market, vehicle to grid technology has drawn a lot of attention from researchers and industry personnel. The fast charging/discharging of batteries in EVs can be used to compensate supply–demand –load imbalance in the system. The paper focuses on the impact of EVs on the system frequency to improve the dynamic performance of the LFC system. This paper uses EVs as an energy source in V2G conditions and a load during G2V. The PID and fuzzy logic controllers were developed, and their performance was compared. Fuzzy rules are used in the PID Fuzzy Controller to adapt the control action based on the linguistic variables associated with the error and its rate of change. This enables improved frequency regulation and reduced deviations compared to the PID controller. According to the simulation results, it will be possible to prevent system frequency variations and comply with demand charges by selecting an appropriate value for the PID controller. A mobile storage device can be utilized with an electric vehicle (EV) as a specialized electricity load to assist in power grid load balancing and provide a platform for coordinating renewable energy sources.