Comparison of wind turbine operating transitions through the use of iterative learning control

Jason Laks, Lucy Pao, Andrew Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


In below-rated wind conditions, a wind turbine operates to maximize the amount of available power harvested from the wind and is said to be operating in region 2. In above-rated wind conditions, where regulation is the main objective to prevent over power and speed faults and to mitigate loads, the turbine is said to be in region 3. There is no standard method for operation at the boundary of the two regions and transitions between them can be problematic. In this study, we use iterative learning control to determine the control actuation necessary to accurately track idealized candidate trajectories during the transition between regions 2 and 3. The amount of control actuation required to track a transition trajectory and the ability to do so with minimal collateral loading determines which trajectory is most amenable for a given turbine. Trajectories are also graded by the average power produced during transition since they take the turbine off of the optimal power point.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
Number of pages8
StatePublished - 2011
Externally publishedYes
Event2011 American Control Conference, ACC 2011 - San Francisco, CA, United States
Duration: Jun 29 2011Jul 1 2011

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2011 American Control Conference, ACC 2011
Country/TerritoryUnited States
CitySan Francisco, CA


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