Reduced-order aggregate dynamical model for wind farms

Sanjana Vijayshankar; Victor Purba; Peter J. Seiler; Sairaj V. Dhople

doi:10.23919/acc.2019.8814800

Reduced-order aggregate dynamical model for wind farms

Sanjana Vijayshankar, Victor Purba, Peter J. Seiler, Sairaj V. Dhople

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

This paper presents an aggregate reduced-order model for a wind farm composed of identical parallel-connected Type-3 wind turbines. The model for individual turbines includes mechanical dynamics (arising from the turbine and doubly fed induction generator) and electrical dynamics (arising from the rotor-side and grid-side converters and associated filters). The proposed aggregate wind-farm model is structure preserving, in the sense that the parameters of the model are derived by scaling corresponding ones from the individual turbines. The aggregate model hence maps to an equivalent-albeit fictitious-wind turbine that captures the dynamics corresponding to the entire wind farm. The reduced-order model has obvious computational advantages, but more importantly, the presented analysis rigorously formalizes parametric scalings for aggregate wind-turbine models that have been applied with limited justification in prior works. Exhaustive numerical simulations validate the accuracy and computational benefits of the proposed reduced-order model.

Original language	English (US)
Title of host publication	2019 American Control Conference, ACC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5464-5471
Number of pages	8
ISBN (Electronic)	9781538679265
DOIs	https://doi.org/10.23919/acc.2019.8814800
State	Published - Jul 2019
Event	2019 American Control Conference, ACC 2019 - Philadelphia, United States Duration: Jul 10 2019 → Jul 12 2019

Publication series

Name	Proceedings of the American Control Conference
Volume	2019-July
ISSN (Print)	0743-1619

Conference

Conference	2019 American Control Conference, ACC 2019
Country/Territory	United States
City	Philadelphia
Period	7/10/19 → 7/12/19

Bibliographical note

Funding Information:
Sanjana Vijayshankar, Victor Purba, and Sairaj V. Dhople are with the Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455. E-mails: {vijay092, purba002, sdho-ple}@umn.edu. Peter J. Seiler is with the Department of Aerospace and Engineering Mechanics, University of Minnesota, Minneapolis, MN 55455. E-mail: seile017@umn.edu. This work is supported in part by the National Science Foundation through award 1453921 and by the U.S.Department of Energy under Contract No. DE-EE0000-1583.

Publisher Copyright:
© 2019 American Automatic Control Council.

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Reduced-order aggregate dynamical model for wind farms. / Vijayshankar, Sanjana; Purba, Victor; Seiler, Peter J. et al.
2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5464-5471 8814800 (Proceedings of the American Control Conference; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Vijayshankar, S, Purba, V, Seiler, PJ & Dhople, SV 2019, Reduced-order aggregate dynamical model for wind farms. in 2019 American Control Conference, ACC 2019., 8814800, Proceedings of the American Control Conference, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., pp. 5464-5471, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 7/10/19. https://doi.org/10.23919/acc.2019.8814800

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Reduced-order aggregate dynamical model for wind farms

Abstract

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Bibliographical note

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