Operational State Analysis of Wind Turbines Based on SCADA Data

被引：0

作者：

Chu, Jing-chun ^{[1
,2
]}

Yuan, Ling ^{[1
,2
]}

Xie, Fa ^{[1
]}

Pan, Lei ^{[1
]}

Wang, Xiao-dan ^{[1
]}

Zhang, Lin-zhong ^{[1
]}

机构：

[1] Guodian United Power Technol Co Ltd, 1 Bldg,16 Xi Si Huan Zhong Rd, Beijing 100039, Peoples R China

[2] State Key Lab Wind Power Equipment & Control, 88 Fengneng St, Baoding 071000, Hebei, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONIC ENGINEERING (EEE 2019) | 2019年 / 185卷

关键词：

Wind turbines; State evaluation; PCA method; SCADA data;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：169 / 173

页数：5

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