2026-09-21T23:36:48Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/99123 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Beck, Carolyn L. Buccafusca, Lucas D 2018-03-02T19:59:46Z 2018-03-02T19:59:46Z 2020-03-03T10:15:29Z 2017-07-19 2017-08 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. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-08-01 The student, Lucas Buccafusca, accepted the attached license on 2017-07-19 at 10:04. The student, Lucas Buccafusca, submitted this Thesis for approval on 2017-07-19 at 10:38. This Thesis was approved for publication on 2017-07-19 at 11:14. DSpace SAF Submission Ingestion Package generated from Vireo submission #11523 on 2018-03-02 at 13:02:38 Made available in DSpace on 2018-03-02T19:59:46Z (GMT). No. of bitstreams: 2 BUCCAFUSCA-THESIS-2017.pdf: 530053 bytes, checksum: 71f5cbdb36b97c841303464d09ebbf8f (MD5) LICENSE.txt: 4213 bytes, checksum: 61a66fe3e657f8cda968f1e30c915464 (MD5) Previous issue date: 2017-07-19 Embargo set by: Seth Robbins for item 105077 Lift date: 2020-03-02T19:59:52Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 105077 Lift date: 2020-03-02T20:02:46Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 105077 on 2020-03-03T10:15:29Z. application/pdf http://hdl.handle.net/2142/99123 en Copyright 2017 Lucas Buccafusca Optimization Wind energy Dynamic programming Modeling and maximizing power in wind turbine arrays text text Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.