Accurate Rotor Speed Estimation for Low-Power Wind Turbines

被引:9
|
作者
Manuel Guerrero, Juan [1 ]
Lumbreras, Carlos [1 ]
Reigosa, David [1 ]
Fernandez, Daniel [1 ]
Briz, Fernando [1 ]
Blanco Charro, Cristian [1 ]
机构
[1] Univ Oviedo, Dept Elect Engn, Gijon 33203, Spain
关键词
Power converters; rectifiers; sensorless control; wind energy generation; wind power generation; RECTIFIER;
D O I
10.1109/TPEL.2019.2913781
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
Small grid-tied wind turbines based on permanent magnet generators often use a cost-effective power converter topology consisting of a passive rectifier, a boost converter, and an H-bridge inverter. Speed or position sensors are rarely used due to cost issues. Model-based estimators relying on electricalmagnitudes are used instead. However, such estimators are parameter sensitive, which limit their accuracy. Further concerns arise if these parameters change with the operating condition of the machine, mainly due to temperature. Speed sensorless control using the rectifier voltage ripple is analyzed in this paper. This technique provides good dynamic response and does not depend on machine parameters. Simulations are provided for speed and power tracking comparison with an accurate model-based speed estimation method operating at non-rated parameters. They show the speed accuracy and power tracking capability of the proposed method are similar to that provided by a speed sensor. This is translated into a 0.9% power increase when the model-based speed estimator shows 9% of error. Experimental results are carried out to test the effect of current and temperature in the estimation, showing temperature insensitivity and some distortion due to fast current transients. A speed estimation accuracy of zero mean error and 1.7% standard error is experimentally obtained in the regular operation of the wind turbine.
引用
收藏
页码:373 / 381
页数:9
相关论文
共 50 条
  • [11] Dynamics and control of vibrations in wind turbines with variable rotor speed
    Staino, A.
    Basu, B.
    ENGINEERING STRUCTURES, 2013, 56 : 58 - 67
  • [12] Low-power Vehicle Speed Estimation Algorithm based on WSN
    Ding Nan
    Tan Guozhen
    Ma Honglian
    Lin Mingwen
    Shang Yao
    PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, : 1015 - 1020
  • [13] Maximizing the Wind Power Production of DFIG-Based Wind Turbines at Low Wind Speed O
    Kasem, Ali H.
    El-Saadany, Ehab F.
    El-Tamaly, Hassan H.
    Wahab, Mohamed A. A.
    2008 40TH NORTH AMERICAN POWER SYMPOSIUM (NAPS 2008), 2008, : 506 - +
  • [14] LOW-POWER HIGH-SPEED ROTOR (200000 RPM) WITH HTSC BEARINGS
    NEMOSHKALENKO, VV
    NIKITIN, BG
    JOURNAL OF ALLOYS AND COMPOUNDS, 1993, 195 (1-2) : 731 - 734
  • [15] 'Design of wind blades for the development of low-power wind turbines using Betz and Schmitz methods.'
    Raghavendra, S.
    Ravikumar, T. R.
    Reddy, Gnaendra G., V
    Manjunatha, K. N.
    Madhusudhana, S., V
    ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES, 2022, 8 (01) : 808 - 827
  • [16] Estimation of Rotor Effective Wind Speed: A Comparison
    Soltani, Mohsen Nourbakhsh
    Knudsen, Torben
    Svenstrup, Mikael
    Wisniewski, Rafael
    Brath, Per
    Ortega, Romeo
    Johnson, Kathryn
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (04) : 1155 - 1167
  • [17] Low-speed, low induction multi-blade rotor for energy efficient small wind turbines
    Yilmaz, Oktay
    ENERGY, 2023, 282
  • [18] Effect of tuned unified power flow controller to mitigate the rotor speed instability of fixed-speed wind turbines
    Jayashri, R.
    Devi, R. P. Kumudini
    RENEWABLE ENERGY, 2009, 34 (03) : 591 - 596
  • [19] Simultaneous estimation of mass and aerodynamic rotor imbalances for wind turbines
    Niebsch, Jenny
    Ramlau, Ronny
    JOURNAL OF MATHEMATICS IN INDUSTRY, 2014, 4 (04):
  • [20] A Maximum Power Point Tracking Control Method Based on Rotor Speed PDF Shape for Wind Turbines
    Zhang, Xinge
    Zhang, Zhen
    Jia, Junru
    Zheng, Liming
    APPLIED SCIENCES-BASEL, 2022, 12 (18):