Operational State Analysis of Wind Turbines Based on SCADA Data
Jing-chun Chu, Ling Yuan, Fa Xie, Lei Pan, Xiao-dan Wang, Lin-zhong Zhang
Available Online July 2019.
- https://doi.org/10.2991/eee-19.2019.29How to use a DOI?
- Wind turbines, State evaluation, PCA method, SCADA data
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jing-chun Chu AU - Ling Yuan AU - Fa Xie AU - Lei Pan AU - Xiao-dan Wang AU - Lin-zhong Zhang PY - 2019/07 DA - 2019/07 TI - Operational State Analysis of Wind Turbines Based on SCADA Data BT - 2nd International Conference on Electrical and Electronic Engineering (EEE 2019) PB - Atlantis Press SP - 169 EP - 173 SN - 2352-5401 UR - https://doi.org/10.2991/eee-19.2019.29 DO - https://doi.org/10.2991/eee-19.2019.29 ID - Chu2019/07 ER -