Fluctuation feature extraction of wind power

The biggest challenge of integrating large-scale wind farms into a power system is the inherent fluctuation nature of the wind power. In order to identify appropriate operational and technological solutions to integrate wind plants, it is important to characterize the intermittency, variability and uncertainty of a certain wind farm output. This paper describes some typical methods including Ramp Rate, Fast Fourier Transform, Wavelet Transform and Hilbert-Huang Transform to qualitatively and quantitatively analyze the fluctuation characteristics of the wind power from the view of time domain, frequency domain and time-frequency domain especially. Then the historical power data from a wind farm is utilized to illustrate the above methods of wind power fluctuation extraction. The methods proposed in this paper can provide some useful information for the reliable and effective operation of the power system.