A collaborative control method for high-proportion renewable energy and flexible loads

The collaborative control method of high proportion of renewable energy and flexible load plays a vital role in the current global energy transformation process. This paper proposes a collaborative control method that integrates energy analysis, data collection and intelligent control to achieve joint dispatch and optimization control of wind power and other renewable energy sources. This method first collects and analyzes data of various related energy sources and analyzes the historical data curve of grid-connected energy; then, according to the current power load of the power grid, the analysis method proposed in this paper is used to predict the impact of wind power grid connection on the frequency fluctuation of the power grid; then, according to the set conditions, it is determined whether the wind power-related power sources are allowed to be connected to the power grid for power supply; finally, the wind turbines are connected and the optimal joint dispatch plan for stable operation of the power grid is formulated. Through simulation experiments on real wind power data in a certain place in Xinjiang, China, it is verified that this method can effectively reduce the impact of wind power on the frequency fluctuation of the power grid.