Large-scale electric vehicles and new energy participating in grid frequency modulation can impact the stability of grid frequency.For this problem,based on model predictive control,a joint frequency modulation control strategy for electric vehicles and wind power is proposed considering stochastic perturbation in source-load interaction.Firstly,according to the access state and wind speed of electric vehicle,the output power boundary of electric vehicle clusters and wind turbines is portrayed with the change of perturbation.Secondly,a load frequency control(LFC)model is established for multi-area power system,and the stochastic perturbation accompanied by the access of electric vehicle clusters and wind turbines is taken into account comprehensively to effectively regulate the frequency deviation of the system based on model predictive control.Finally,a simulation experiment is carried out taking a three-region interconnected power system for example.The results show that the proposed control strategy can significantly suppress the frequency deviation caused by the stochastic perturbation in source-load interactions,and can improve the dynamic control performance of the system.
electric vehicleswind turbineauxiliary frequency modulationmodel predictive controlstochastic perturbation in source-load interactions
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