| The development of green smart grids has affected the quality and frequency stability of the grid.At the same time,with the large-scale electric vehicles connected to the grid,the forecast of the grid load becomes a necessary condition for studying the frequency characteristics of the grid.In this paper,the real-time schedulable capacity load forecasting method is studied to realize the forecasting of the EV’s dispatchable capacity and the regulation of the grid frequency.Under the condition of large-scale grid-connected electric vehicles,the predictable capacity of electric vehicles is forecasted.Taking the load of a single area as an example,the size and the change curve of the schedulable capacity of electric vehicles are predicted,and a load frequency control scheme is proposed.The model was controlled and based on the schedulable capacity,the impact of the access of the electric vehicle on the grid frequency was analyzed.A real-time data acquisition platform was established to monitor charging stations and charging piles.Combined with the construction of charging facilities in the northern Anhui power grid,a frequency-modulation design based on genetic algorithms was used to achieve grid-connected frequency modulation of electric vehicles.After experimental analysis,it was proposed.The scheduling scheme can make the overall system more stable and dynamic,and the power quality of the system is even greater. |
