Operational State Analysis of Wind Turbines Based on SCADA Data
Jing-Chun CHU, Ling Yuan, Xie Fa, Lei Pan, Xiaodan Wang, Zhang Lin-zhong · 2019
For the multi-parameters evaluation problem of wind turbine operational status, the principal component analysis (PCA) methodology is firstly used to reduce dimension, standardize and de-correlate to the SCADA data of wind turbine operation, and get the principal component of the wind turbine operational SCADA data.Secondly, computing the total score of the principal component, which is utilized for evaluating the wind turbine.Finally, the operational status of nine wind turbines in a same wind farm are compared and analyzed by using PCA method proposed in this paper.The results show that the PCA method is effective for evaluating wind turbines. MethodologyThe Principal component analysis (PCA) can simplify the index dimension, compress the information, and make the analysis of the problem more intuitive and effective [4,5].Therefore, the PCA method 2nd