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
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2014年 / 29卷 / 01期
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
  • [41] A condition monitoring method of wind turbines based on Long Short-Term Memory neural network
    Feng, Bo
    Zhang, Dahai
    Si, Yulin
    Tian, Xiange
    Qian, Peng
    2019 25TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC), 2019, : 159 - 162
  • [42] Development of a Fault Monitoring Technique for Wind Turbines Using a Hidden Markov Model
    Shin, Sung-Hwan
    Kim, SangRyul
    Seo, Yun-Ho
    SENSORS, 2018, 18 (06)
  • [43] Fast Active Power Distribution Method for Wind Farms Considering Fatigue Loads of Wind Turbines
    Pan, Shenkai
    Gao, Bingtuan
    Mao, Yongheng
    Guan, Yifei
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2024, 48 (15): : 112 - 121
  • [44] Development of performance specifications for hybrid modeling of floating wind turbines in wave basin tests
    Hall M.
    Goupee A.
    Jonkman J.
    Journal of Ocean Engineering and Marine Energy, 2018, 4 (1) : 1 - 23
  • [45] A novel improved actuator line method for tandem-arranged wind turbines wake analysis and its application
    Fan, Ning
    Yuan, Xianxu
    Duan, Wenyang
    Bi, Lin
    OCEAN ENGINEERING, 2024, 313
  • [46] A novel Economic Nonlinear Model Predictive Controller for power maximisation on wind turbines
    Pustina, L.
    Biral, F.
    Serafini, J.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 170
  • [47] Adaptive power management of energy autonomous structural health monitoring systems for wind turbines
    Grundkoetter, Eike
    Melbert, Joachim
    2021 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2021), 2021,
  • [48] A wind speed vector-wind power curve modeling method based on data denoising algorithm and the improved Transformer
    Zha, Wenting
    Jin, Ye
    Sun, Yalu
    Li, Yalong
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 214
  • [49] Calculation Method of Wind Turbine Output Power under Clean and Icing Conditions Verified by Field Tests
    Shu L.
    Yu Z.
    Li H.
    Hu Q.
    Jiang X.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2023, 38 (11): : 3041 - 3051
  • [50] A novel method for condition monitoring of wind turbine gearbox in wind farm
    Xin, Hongwei
    Wen, Xiaoqiang
    Xu, Ziang
    Wang, Jianguo
    WIND ENGINEERING, 2022, 46 (06) : 1706 - 1720
12345