Hydrogen Storage Wind Power Fluctuation Smoothing Strategy Based on Improved Beluga Whale Optimization with Kalman Filtering

In order to solve the problem of large-scale wind power grid integration affecting the overall safe operation of the power grid due to the fluctuation of wind energy with the seasons and day and night, a hydrogen storage wind power fluctuation smoothing method integrating the improved beluga whale optimization(IBWO) and Kalman filtering is proposed. The control method proposed in this paper combines China's relevant requirements for wind power with the objective of minimizing wind abandonment and optimizing the overall economy to achieve the distribution of wind power grid-connected power and hydrogen production power, which can effectively make up for the grid- connected fluctuation disadvantage of wind energy.