Wind Power Calming Strategy Based on MALW-SCHO-VMD

In order to solve the key technical problems such as randomness, intermittency and unpredictability of wind power output, a hybrid energy storage power allocation strategy with reduced hybrid energy storage output and no wind energy prediction is proposed. Firstly, the basic characteristics of moving average filter and limiter filter are analyzed, and an improved moving average limiter weighted filter method is proposed to separate grid-connected power from energy storage power. Secondly, the variational mode decomposition of energy storage power optimized by hyperbolic sine and cosine algorithm is adopted, and the corresponding parallel hybrid energy storage fuzzy controller is designed to improve the energy storage power distribution accuracy twice, and the annual comprehensive cost economic model of the hybrid energy storage system is established. Finally, the simulation and verification of typical daily data show that the proposed calming strategy can effectively smooth grid-connected power and has a high precision power distribution capability, which can meet the actual requirements of charge and discharge of the two types of energy storage, solve the problem of over-charge and over-discharge of energy storage, and improve the overall economic benefits of the system.