Multi-Time Scale Frequency Regulation Control of Virtual Power Plant Based on Fuzzy Sets

With the continuous development of the power system, in the face of the frequency deviation caused by the randomness and volatility of renewable energy sources such as photovoltaic and wind power, considering the use of air conditioning, electric vehicle charging piles, and energy storage to form a distributed resource cluster that takes into account economy and efficiency to participate in frequency regulation auxiliary services to reduce frequency deviation. In the process of a virtual power plant (VPP) participating in frequency regulation auxiliary service, a multi-time scale frequency regulation control strategy of VPP is proposed, which can cope with frequency deviation on different time scales. By establishing a three-stage frequency regulation process, the collaborative optimization of distributed resources is realized. The priority principle is adopted to prioritize the scheduling of higher-value resources to participate in frequency regulation, which helps to allocate resources. In the process of tertiary frequency regulation, the fuzzy sets are used to optimize the frequency regulation strategy of energy storage, which reduces the switching times of energy storage and improves the stability of frequency regulation. The effectiveness of the proposed algorithm and the feasibility of distributed resources participating in frequency regulation are verified by a case.