Files in this item



application/pdfBUCCAFUSCA-THESIS-2017.pdf (530kB)
(no description provided)PDF


Title:Modeling and maximizing power in wind turbine arrays
Author(s):Buccafusca, Lucas D
Advisor(s):Beck, Carolyn L.
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Wind energy
Dynamic programming
Abstract:This work considers a specific application domain, that of wind turbine arrays, and explores algorithms for determining individual axial induction factors that optimize overall energy extraction. Large wind turbine arrays, or wind farms, can be viewed as large coupled networks, for which the application of traditional optimization techniques are impractical. A brief discussion on wind farm models and traditional optimization approaches leads to a dynamic programming approach to maximize power extraction under the condition of uniform wind. This differs from prior work in which only a dynamic programming approach for a near-field approximate solution has been analyzed. Following that, a heuristic method to find solutions to both the near-field and the far-field problems is presented. Simulation results are discussed, which demonstrate the algorithm provides improved performance compared to prior work on near-field approaches.
Issue Date:2017-07-19
Rights Information:Copyright 2017 Lucas Buccafusca
Date Available in IDEALS:2018-03-02
Date Deposited:2017-08

This item appears in the following Collection(s)

Item Statistics