A low-order model for wind farm control

Jennifer Annoni, Peter Seiler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

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 languageEnglish (US)
Title of host publicationACC 2015 - 2015 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1721-1727
Number of pages7
ISBN (Electronic)9781479986842
DOIs
StatePublished - Jul 28 2015
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Publication series

NameProceedings of the American Control Conference
Volume2015-July
ISSN (Print)0743-1619

Conference

Conference2015 American Control Conference, ACC 2015
CountryUnited States
CityChicago
Period7/1/157/3/15

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