Articles | Volume 4, issue 2
https://doi.org/10.5194/wes-4-355-2019
https://doi.org/10.5194/wes-4-355-2019
Research article
 | 
20 Jun 2019
Research article |  | 20 Jun 2019

Wind direction estimation using SCADA data with consensus-based optimization

Jennifer Annoni, Christopher Bay, Kathryn Johnson, Emiliano Dall'Anese, Eliot Quon, Travis Kemper, and Paul Fleming

Viewed

Total article views: 5,911 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,919 1,849 143 5,911 159 127
  • HTML: 3,919
  • PDF: 1,849
  • XML: 143
  • Total: 5,911
  • BibTeX: 159
  • EndNote: 127
Views and downloads (calculated since 05 Oct 2018)
Cumulative views and downloads (calculated since 05 Oct 2018)

Viewed (geographical distribution)

Total article views: 5,911 (including HTML, PDF, and XML) Thereof 4,482 with geography defined and 1,429 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Sep 2024
Download
Short summary
Typically, turbines do not share information with nearby turbines in a wind farm. Relying on a single turbine sensor on the back of a turbine nacelle can lead to large errors in yaw misalignment or excessive yawing due to noisy sensor measurements. The wind farm consensus control approach in this paper shows the benefits of sharing information between nearby turbines by computing a robust estimate of the wind direction using noisy sensor information from these neighboring turbines.
Altmetrics
Final-revised paper
Preprint