Wind Power Smoothing Control Strategy Based on Recursive Fuzzy Neural Network

To implement smooth grid-connection of wind power, on the basis of satisfying the demand on the fluctuation of wind power, taking decreasing the time delay of wind power smooth output and reducing the capacity of hybrid energy storage as the objective, a wind power smooth grid-connection strategy based on the recursive fuzzy neural network combined with rule control was designed. Firstly, by means of recursive fuzzy neural network the original output of wind power was leveled to obtain the grid-connected power met the national requirement on wind power fluctuation 1 min/10 min. Secondly, according to respective constraint conditions of hybrid energy storat such as power, state of charge, etc., a rule control-based power distribution algorithm was established to realize the rational distribution of power among hybrid energy storage systems. Finally, taking historical data of wind power in Xinjiang as basis, simulation calculation was performed by Matlab/Simulink. Simulation results show that the proposed smooth strategy is reasonable and efficient.