Optimal Control Design for Wind Energy Storage Device Based on Wavelet Algorithm

Wind power generation is one of the most promising renewable power generation, which has the most large-scale development conditions and has the most promising development. But the wind energy has characters on the randomness and indirectness, which will lead to the fluctuation of the active power output of the wind farm. This makes the power quality is lower than peak load regulation and frequency modulation in power grid. The distributed energy storage device control system of wind power generator storage mode is designed, based on the theory of doubly fed induction generator. The wavelet transform theory was utilized to decompose the active power output from multi-scale model. The MUSIC power spectrum estimation algorithm was applied to the low frequency component signal, and the nonstationary random time-varying power spectrum was established. The super capacitor and battery energy storage characteristics of the energy distribution system were considered. The design can achieve a reasonable real-time analysis and storage control for wind power.