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

• Published in: Xi'an Gongcheng Daxue xuebao Vol. 36; no. 5; pp. 95 - 101
• Main Authors: CHENG Lin, JIA Yichao, WANG Jili, KE Xianbo, HAN Hualing
• Format: Journal Article
• Language: Chinese
• Published: Editorial Office of Journal of XPU 01.10.2022
• Subjects: correlation characteristics; fuzzy c-means clustering algorithm; k-means clustering algorithm; power fluctuation; wind speed
• ISSN: 1674-649X
• DOI: 10.13338/j.issn.1674-649x.2022.05.013

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 correlati