Abstract
Wind turbines in a wind farm are operated individually to maximize their own power regardless of the impact of aerodynamic interactions on neighboring turbines. There is the potential to increase power and reduce overall structural loads by properly coordinating the turbines. To perform control design and analysis, a model needs to be of low computational complexity but retain the necessary dynamics seen in high-fidelity models. This paper addresses a model reduction approach that computes the dominant modes of the flow that capture the energy and frequency characteristics of the system. Specifically, the paper uses the balanced proper orthogonal decomposition technique to construct the dominant input/output modes. Using these modes, a low-order model of a wind farm is constructed that can be used for control design.
Original language | English (US) |
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Title of host publication | ACC 2015 - 2015 American Control Conference |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1721-1727 |
Number of pages | 7 |
ISBN (Electronic) | 9781479986842 |
DOIs | |
State | Published - Jul 28 2015 |
Event | 2015 American Control Conference, ACC 2015 - Chicago, United States Duration: Jul 1 2015 → Jul 3 2015 |
Publication series
Name | Proceedings of the American Control Conference |
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Volume | 2015-July |
ISSN (Print) | 0743-1619 |
Conference
Conference | 2015 American Control Conference, ACC 2015 |
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Country/Territory | United States |
City | Chicago |
Period | 7/1/15 → 7/3/15 |
Bibliographical note
Publisher Copyright:© 2015 American Automatic Control Council.