Peak Load Regulation of Wind Power System Based on Wavelet Analysis

As to peak load regulation problem of wind power system, a peak load regulation method based on wavelet analysis is proposed in this paper to reduce the climbing power output times of regulation units and energy consumption. This method adopts the supported biorthogonal wavelet db4 (Daubechies function) with approximate symmetry smooth compactly as the wavelet bases, and uses the multiresolution analysis Mallat algorithm to decompose the predicted equivalent load to 2 scale. The basic load of the predicted equivalent load is distributed to the regulation unit. This method and another peak load regulation method without wavelet analysis are contrasted in the simulation example, and the comparative results prove that its peak load regulation performance is better than that of the latter, which indicates that this method has a good peak load regulation performance, can make the power output of regulation units more quietly, and effectively reduces the losses of regulation unit and energy consumption.