Multi-objective Optimization Strategy for Virtual Power Plant Participation in AGC Frequency Regulation
As the penetration rate of renewable energy increases gradually,the inertia support capacity of the power system de-creases correspondingly,and scientifically increasing the frequency regulation performance of the power grid becomes an urgent problem to be solved.Therefore,a multi-objective optimization strategy for virtual power plant to participate in automatic gener-ation control(AGC)frequency regulation is proposed.The virtual power plant aggregates electric vehicles and energy storage to respond to the low-frequency and high-frequency components of the deviation between thermal power units and the AGC signal,and establishes a multi-objective optimization model by taking the maximum comprehensive revenue,the optimal energy storage power balance,and the best frequency regulation effect as the objective function and considering the relevant constraints.The op-timization results are obtained by using the NSGA-Ⅲ algorithm and fuzzy set theory.Simulation results show that the strategy proposed in this paper can effectively tap the frequency regulation potential of adjustable resources and improve the grid fre-quency regulation performance.
virtual power plantAGC frequency regulationancillary servicesmulti-objective optimization
万方数据
维普
