Impacts of Prediction on Wave Energy Converter Control

Graduate Thesis Or Dissertation

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Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/7p88cn592

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Attribute Name	Values
Creator	Comard, Colin Q.
Abstract	Ocean waves provide a promising source of renewable energy for the North American electric grid. However, ideal control of wave energy converters (WECs) requires perfect forecasting of future wave conditions, and waves can be unpredictable. This paper presents a comparison of three different prediction methods and analyzes their performance in a WEC system controlled via Model Predictive Control (MPC). Results show that while all three prediction methods present a significant decrease in WEC controller performance, the choice of the controller parameters plays an important role in the magnitude of that decrease. In the best case, the prediction methods tested in this paper have a 34.63% decrease in performance compared to ideal prediction on average output power.
License	All rights reserved
Resource Type	Masters Thesis
Date Issued	2018-12-03
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Electrical and Computer Engineering
Degree Grantor	Oregon State University
Commencement Year	2019
Advisor	Brekken, Ted K. A.
Committee Member	Albertani, Roberto Cotilla-Sanchez, Eduardo Bernell, David
Academic Affiliation	Electrical Engineering and Computer Science
Rights Statement	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]

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