Fuzzy control-based control strategy for frequency regulation of load-based virtual power plant

As a new mode of aggregating demand-side resources such as electric vehicles and air-conditioning loads, the virtual power plant can fully utilize the advantages of fast response speed, large frequency regulation potential and high regulation flexibility of demand-side resources. In this paper, we take the smart building-type virtual power plant aggregated with electric vehicles and air-conditioning loads as the research object, quantitatively analyze the users' willingness to frequency regulation using TSK fuzzy model, and establish a power allocation model considering the users' willingness to realize the intra-day frequency regulation control with the participation of demand-side resources in the frequency regulation auxiliary service. Finally, the effectiveness of the proposed strategy is verified through an arithmetic example.