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
收藏
页码：169 / 173
页数：5
相关论文
共 50 条
  • [1] Anomaly detection of wind turbines based on stationarity analysis of SCADA data
    Dao, Phong B.
    Barszcz, Tomasz
    Staszewski, Wieslaw J.
    RENEWABLE ENERGY, 2024, 232
  • [2] Analysis of yaw characteristics of wind turbines in mountain wind farm based on SCADA data
    Zhu, Anfeng
    Xiao, Zhao
    Zhao, Qiancheng
    Huang, Lingxiang
    Gui, Lin
    NINTH INTERNATIONAL SYMPOSIUM ON PRECISION MECHANICAL MEASUREMENTS, 2019, 11343
  • [3] SCADA data based condition monitoring of wind turbines
    Ke-Sheng Wang
    Vishal S.Sharma
    Zhen-You Zhang
    Advances in Manufacturing, 2014, (01) : 61 - 69
  • [4] Performance evaluation of wind turbines based on SCADA data
    Wen, Xiaoqiang
    Xie, Meng
    WIND ENGINEERING, 2021, 45 (05) : 1243 - 1255
  • [5] SCADA data based condition monitoring of wind turbines
    Wang, Ke-Sheng
    Sharma, Vishal
    Zhang, Zhen-You
    ADVANCES IN MANUFACTURING, 2014, 2 (01) : 61 - 69
  • [6] SCADA data based condition monitoring of wind turbines
    Ke-Sheng Wang
    Vishal S. Sharma
    Zhen-You Zhang
    Advances in Manufacturing, 2014, 2 : 61 - 69
  • [7] Analyzing State Dynamics of Wind Turbines Through SCADA Data Mining
    Castellani, Francesco
    Astolfi, Davide
    Terzi, Ludovico
    ADVANCES IN CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS, 2016, 4 : 213 - 223
  • [8] A SCADA Data based Anomaly Detection Method for Wind Turbines
    Du, Mian
    Ma, Shichong
    He, Qing
    2016 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2016,
  • [9] Research on power coefficient of wind turbines based on SCADA data
    Dai, Juchuan
    Liu, Deshun
    Wen, Li
    Long, Xin
    RENEWABLE ENERGY, 2016, 86 : 206 - 215
  • [10] Anomaly recognition method for wind turbines based on SCADA data
    Xiang, Ling
    Deng, Zeqi
    Zhao, Yue
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 41 (11): : 278 - 284
12345