Evaluating wake models for wind farm control

Jennifer Annoni; Peter J Seiler Jr; Kathryn Johnson; Paul Fleming; Pieter Gebraad

doi:10.1109/ACC.2014.6858970

Evaluating wake models for wind farm control

Jennifer Annoni
, Peter J Seiler Jr
, Kathryn Johnson
, Paul Fleming
, Pieter Gebraad

Aerospace Engineering and Mechanics

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

63 Scopus citations

Abstract

Wind turbines are typically operated to maximize their own performance without considering the impact of wake effects on nearby turbines. There is the potential to increase total power and reduce structural loads by properly coordinating the individual turbines in a wind farm. The effective design and analysis of such coordinated controllers requires turbine wake models of sufficient accuracy but low computational complexity. This paper first formulates a coordinated control problem for a two-turbine array. Next, the paper reviews several existing simulation tools that range from low-fidelity, quasi-static models to high-fidelity, computational fluid dynamic models. These tools are compared by evaluating the power, loads, and flow characteristics for the coordinated two-turbine array. The results in this paper highlight the advantages and disadvantages of existing wake models for design and analysis of coordinated wind farm controllers.

Original language	English (US)
Title of host publication	2014 American Control Conference, ACC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2517-2523
Number of pages	7
ISBN (Print)	9781479932726
DOIs	https://doi.org/10.1109/ACC.2014.6858970
State	Published - 2014
Event	2014 American Control Conference, ACC 2014 - Portland, OR, United States Duration: Jun 4 2014 → Jun 6 2014

Publication series

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

Other

Other	2014 American Control Conference, ACC 2014
Country/Territory	United States
City	Portland, OR
Period	6/4/14 → 6/6/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Modeling and simulation

Publisher link

10.1109/ACC.2014.6858970

Find It

Find It at U of M Libraries

Cite this

Evaluating wake models for wind farm control. / Annoni, Jennifer; Seiler Jr, Peter J; Johnson, Kathryn et al.
2014 American Control Conference, ACC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2517-2523 6858970 (Proceedings of the American Control Conference).

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

Annoni, J, Seiler Jr, PJ, Johnson, K, Fleming, P & Gebraad, P 2014, Evaluating wake models for wind farm control. in 2014 American Control Conference, ACC 2014., 6858970, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 2517-2523, 2014 American Control Conference, ACC 2014, Portland, OR, United States, 6/4/14. https://doi.org/10.1109/ACC.2014.6858970

@inproceedings{143feec276f84fa2b3c2b8649e1bf42b,

title = "Evaluating wake models for wind farm control",

abstract = "Wind turbines are typically operated to maximize their own performance without considering the impact of wake effects on nearby turbines. There is the potential to increase total power and reduce structural loads by properly coordinating the individual turbines in a wind farm. The effective design and analysis of such coordinated controllers requires turbine wake models of sufficient accuracy but low computational complexity. This paper first formulates a coordinated control problem for a two-turbine array. Next, the paper reviews several existing simulation tools that range from low-fidelity, quasi-static models to high-fidelity, computational fluid dynamic models. These tools are compared by evaluating the power, loads, and flow characteristics for the coordinated two-turbine array. The results in this paper highlight the advantages and disadvantages of existing wake models for design and analysis of coordinated wind farm controllers.",

keywords = "Modeling and simulation",

author = "Jennifer Annoni and \{Seiler Jr\}, \{Peter J\} and Kathryn Johnson and Paul Fleming and Pieter Gebraad",

year = "2014",

doi = "10.1109/ACC.2014.6858970",

language = "English (US)",

isbn = "9781479932726",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2517--2523",

booktitle = "2014 American Control Conference, ACC 2014",

note = "2014 American Control Conference, ACC 2014 ; Conference date: 04-06-2014 Through 06-06-2014",

}

TY - GEN

T1 - Evaluating wake models for wind farm control

AU - Annoni, Jennifer

AU - Seiler Jr, Peter J

AU - Johnson, Kathryn

AU - Fleming, Paul

AU - Gebraad, Pieter

PY - 2014

Y1 - 2014

N2 - Wind turbines are typically operated to maximize their own performance without considering the impact of wake effects on nearby turbines. There is the potential to increase total power and reduce structural loads by properly coordinating the individual turbines in a wind farm. The effective design and analysis of such coordinated controllers requires turbine wake models of sufficient accuracy but low computational complexity. This paper first formulates a coordinated control problem for a two-turbine array. Next, the paper reviews several existing simulation tools that range from low-fidelity, quasi-static models to high-fidelity, computational fluid dynamic models. These tools are compared by evaluating the power, loads, and flow characteristics for the coordinated two-turbine array. The results in this paper highlight the advantages and disadvantages of existing wake models for design and analysis of coordinated wind farm controllers.

AB - Wind turbines are typically operated to maximize their own performance without considering the impact of wake effects on nearby turbines. There is the potential to increase total power and reduce structural loads by properly coordinating the individual turbines in a wind farm. The effective design and analysis of such coordinated controllers requires turbine wake models of sufficient accuracy but low computational complexity. This paper first formulates a coordinated control problem for a two-turbine array. Next, the paper reviews several existing simulation tools that range from low-fidelity, quasi-static models to high-fidelity, computational fluid dynamic models. These tools are compared by evaluating the power, loads, and flow characteristics for the coordinated two-turbine array. The results in this paper highlight the advantages and disadvantages of existing wake models for design and analysis of coordinated wind farm controllers.

KW - Modeling and simulation

UR - https://www.scopus.com/pages/publications/84905680465

UR - https://www.scopus.com/pages/publications/84905680465#tab=citedBy

U2 - 10.1109/ACC.2014.6858970

DO - 10.1109/ACC.2014.6858970

M3 - Conference contribution

AN - SCOPUS:84905680465

SN - 9781479932726

T3 - Proceedings of the American Control Conference

SP - 2517

EP - 2523

BT - 2014 American Control Conference, ACC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 American Control Conference, ACC 2014

Y2 - 4 June 2014 through 6 June 2014

ER -

Evaluating wake models for wind farm control

Abstract

Publication series

Other

UN SDGs

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this