Evaluation of Log-Of-Power Extremum Seeking Control for Wind Turbines Using Large Eddy Simulations

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dc.contributor.ORCID0000-0002-9809-7191 (Leonardi, S)
dc.contributor.ORCID0000-0002-4239-0591 (Rotea, MA)
dc.contributor.authorCiri, Umberto
dc.contributor.authorLeonardi, Stefano
dc.contributor.authorRotea, Mario A.
dc.contributor.utdAuthorCiri, Umberto
dc.contributor.utdAuthorLeonardi, Stefano
dc.contributor.utdAuthorRotea, Mario A.
dc.date.accessioned2019-11-08T21:40:45Z
dc.date.available2019-11-08T21:40:45Z
dc.date.created2019-04-03
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article).
dc.description.abstractThe extremum seeking control (ESC) algorithm has been proposed to determine operating parameters that maximize power production below rated wind speeds (region II). This is usually done by measuring the turbine's power signal to determine optimal values for parameters of the control law or actuator settings. This paper shows that the standard ESC with power feedback is quite sensitive to variations in mean wind speed, with long convergence time at low wind speeds and aggressive transient response, possibly unstable, at high wind speeds. The paper also evaluates the performance, as measured by the dynamic and steady state response, of the ESC with feedback of the logarithm of the power signal (LP-ESC). Large eddy simulations (LES) demonstrate that the LP-ESC, calibrated at a given wind speed, exhibits consistent robust performance at all wind speeds in a typical region II. The LP-ESC is able to achieve the optimal set-point within a prescribed settling time, despite variations in the mean wind speed, turbulence, and shear. The LES have been conducted using realistic wind input profiles with shear and turbulence. The ESC and LP-ESC are implemented in the LES without assuming the availability of analytical gradients. ©2019 John Wiley & Sons, Ltd.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.description.sponsorshipNSF award number 1243482.
dc.identifier.bibliographicCitationCiri, U., S. Leonardi, and M. A. Rotea. 2019. "Evaluation of log-of-power extremum seeking control for wind turbines using large eddy simulations." Wind Energy 22(7): 992-1002, doi: 10.1002/we.2336
dc.identifier.issn1095-4244
dc.identifier.issue7
dc.identifier.urihttps://hdl.handle.net/10735.1/7084
dc.identifier.volume22
dc.language.isoen
dc.publisherJohn Wiley & Sons Ltd
dc.relation.urihttps://dx.doi.org/10.1002/we.2336
dc.rights©2019 John Wiley & Sons Ltd.
dc.source.journalWind Energy
dc.subjectWind turbines--Control
dc.subjectEddies--Computer simulation
dc.subjectControl theory
dc.subjectFeedback control systems
dc.subjectTransients (Dynamics)--Analysis
dc.subjectTurbulence
dc.subjectWinds
dc.subjectWind turbines
dc.titleEvaluation of Log-Of-Power Extremum Seeking Control for Wind Turbines Using Large Eddy Simulations
dc.type.genrearticle

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