Development of a Novel Power Curve Monitoring Method for Wind Turbines and Its Field Tests

被引:64
作者
Park, Joon-Young [1 ]
Lee, Jae-Kyung [1 ]
Oh, Ki-Yong [2 ]
Lee, Jun-Shin [1 ]
机构
[1] Korea Elect Power Corp, KEPCO Res Inst, Future Technol Lab, Taejon 305380, South Korea
[2] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
关键词
Alarm generation; condition monitoring; fault data queue; power curve; turbine monitoring; wind turbine;
D O I
10.1109/TEC.2013.2294893
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A novel power curve monitoring method for wind turbines was developed to prevent a turbine failure in a wind farm. Compared with the existing methods, this algorithm automatically calculates the power curve limits for power curve monitoring, even when a considerable number of abnormal data are included in wind speed-output power data measured at a wind turbine. In addition, the proposed algorithm automatically generates an alarm message when the wind speed-power data measured at the wind turbine deviate from the power curve limits, particularly considering their degree of deviation from the power curve limits and the cases when the measured data hover between the Warning Zones and the Alarm Zones. We confirmed its effectiveness through its field tests.
引用
收藏
页码:119 / 128
页数:10
相关论文
共 50 条
  • [21] Wind Turbine Power Curve Drawing based on Method of Grid
    Li, Hangtao
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 3896 - 3899
  • [22] Development of an enhanced parametric model for wind turbine power curve
    Taslimi-Renani, Ehsan
    Modiri-Delshad, Mostafa
    Elias, Mohamad Fathi Mohamad
    Rahim, Nasrudin Abd
    APPLIED ENERGY, 2016, 177 : 544 - 552
  • [23] A stochastic power curve for wind turbines with reduced variability using conditional copula
    Bai, Guanghan
    Fleck, Brian
    Zuo, Ming J.
    WIND ENERGY, 2016, 19 (08) : 1519 - 1534
  • [24] Study on Obtaining Real Power Curve of Wind Turbines Using SCADA Data
    Dai, Juchuan
    Zeng, Huifan
    Zhang, Fan
    Chen, Huanguo
    Li, Mimi
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [25] An Induction Curve Model for Prediction of Power Output of Wind Turbines in Complex Conditions
    Vahidzadeh, Mohsen
    Markfort, Corey D.
    ENERGIES, 2020, 13 (04)
  • [26] Data-driven multivariate power curve modeling of offshore wind turbines
    Janssens, Olivier
    Noppe, Nymfa
    Devriendt, Christof
    Van de Walle, Rik
    Van Hoecke, Sofie
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2016, 55 : 331 - 338
  • [27] Development of a Test Bench Dedicated to Condition Monitoring of Wind Turbines
    Kia, Shahin Hedayati
    Henao, Humberto
    Capolino, Gerard-Andre
    IECON 2014 - 40TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2014, : 2044 - 2049
  • [28] Design and Development of Condition Monitoring System for Wind Turbines Based on Generator Output Voltages
    Lee, Rong-Mao
    Hu, Shih-Hsuan
    Wang, Cheng-Chi
    Chen, Tsung-Chia
    Liu, Jui-Hung
    SENSORS AND MATERIALS, 2020, 32 (03) : 895 - 907
  • [29] Calculation model and method of output power loss of wind farms and wind turbines
    Mei, Huawei
    Mi, Zengqiang
    Bai, Junliang
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2014, 38 (02): : 12 - 16
  • [30] Sound power of onshore wind turbines and its spectral distribution
    van den Berg, Frits
    Koppen, Erik
    Boon, Jaap
    Ekelschot-Smink, Madelon
    SOUND AND VIBRATION, 2025, 59 (01)