Maximizing Wind Farm Power: Wake Control Using Machine Learning Algorithms

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dc.contributor.advisorWood, David
dc.contributor.advisorNar, Michael
dc.contributor.authorSalek, Behnam
dc.date.accessioned2020-09-29T19:18:53Z
dc.date.available2020-09-29T19:18:53Z
dc.date.issued2020-08
dc.description.abstractWindfarms are designed with turbines in proximity due to land and transmission line constraints. As a result, depending on the wind direction, the wake from upstream turbines will impact the downstream turbines, reducing their power generation and the overall wind farm power generation. To mitigate this effect, several wake control technologies have been shown benefit. One strategy to control the wake is to curtail the power of the most upstream turbine. In this research, machine learning algorithms are applied to model the wake effect using Power, nacelle direction, windspeed, and RPM. Next, the model is used to investigate the potential for increasing the power in the downstream turbine by derating the upstream turbine. Although there is a potential for increasing the power, the model performance was not as expected due to the insufficiency of actual data that represents the performance of the downwind turbine when the upstream turbine is curtailed.
dc.identifier.citationSalek, B. (2020). Maximizing Wind Farm Power: Wake Control Using Machine Learning Algorithms (Unpublished master's project). University of Calgary, Calgary, AB.
dc.identifier.urihttp://hdl.handle.net/1880/112631
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/38290
dc.language.isoeng
dc.publisher.departmentSustainable Energy Development
dc.publisher.facultyEnvironmental Designen_US
dc.publisher.facultyGraduate Studiesen_US
dc.publisher.facultyHaskayne School of Businessen_US
dc.publisher.facultyLawen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgary
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleMaximizing Wind Farm Power: Wake Control Using Machine Learning Algorithms
dc.typereport
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.scholar.levelGraduateen_US
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