Correlation analysis of typical fluctuation process between wind speed and wind power

Abstract

In wind power generation system, studying the correlation characteristics between wind speed and power fluctuation can provide a good theoretical basis for wind power prediction, and has important reference value for enhancing the security and stability of power system. Aiming at the problem that power does not fluctuate linearly in real time with wind speed fluctuation, this paper has divided the wind speed and power fluctuation process by K-means clustering algorithm and fuzzy C-means clustering algorithm respectively, and obtained five different fluctuation processes. Then, the correlation characteristics of wind speed and power fluctuation under different fluctuation processes are analyzed by Pearson correlation analysis method and grey correlation analysis method. The results show that the maximum correlation coefficient is 0.492 5 and the minimum correlation coefficient is 0.331 8 in K-means clustering. In fuzzy C-means clustering, the maximum correlation coefficient is 0.486 8 and the minimum correlation coefficient is 0.329 3. Under all fluctuation processes, the grey correlation degree is around 0.5, indicating that the trend of power fluctuation is similar to that of wind speed fluctuation.

Keywords

• wind speed
• power fluctuation
• correlation characteristics
• k-means clustering algorithm
• fuzzy c-means clustering algorithm