Modeling and maximizing power in wind turbine arrays

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2018

Author dc:creator

• Buccafusca, Lucas D

Contributors dc:contributor

• Beck, Carolyn L.

• Optimization
• Wind energy
• Dynamic programming

Statement dc:rights

• Copyright 2017 Lucas Buccafusca

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/99123

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/99123