http://iet.metastore.ingenta.com
1887

access icon openaccess Online data-driven approach of yaw error estimation and correction of horizontal axis wind turbine

Loading full text...

Full text loading...

/deliver/fulltext/joe/2019/18/JOE.2018.9293.html;jsessionid=25bhws5vaej5m.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fjoe.2018.9293&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Hure, N., Turnar, R., Vasak, M., et al: ‘Optimal wind turbine yaw control supported with very short-term wind predictions’. IEEE Int. Conf. on Industrial Technology, Seville, Spain, 2015.
    2. 2)
      • 2. Ouyang, T., Kusiak, A., He, Y.: ‘Predictive model of yaw error in a wind turbine’, Energy, 2017, 123, pp. 119130.
    3. 3)
      • 3. Smith, M., Harris, M., Medley, J., et al: ‘Necessity is the mother of invention: nacelle-mounted lidar for measurement of turbine performance’, Energy Procedia, 2014, 53, pp. 1322.
    4. 4)
      • 4. Fleming, P., Scholbrock, A., Jehu, A., et al: ‘Field-test results using a nacelle-mounted lidar for improving wind turbine power capture by reducing yaw misalignment’, J. Phys., Conf. Ser., 2014, 524, pp. 110.
    5. 5)
      • 5. IEC: ‘Programmable controllers – part 3: programming languages international standard 61131-3’, International Electrotechnical Commission, 2003.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.9293
Loading

Related content

content/journals/10.1049/joe.2018.9293
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address