A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios

Simone Tamaro; Carlo L. Bottasso

doi:10.23919/ACC55779.2023.10156275

A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios

Simone Tamaro
, Carlo L. Bottasso

Chair of Wind Energy

Technical University of Munich

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

6 Scopus citations

Abstract

This paper presents a new active power control algorithm designed to maximize the power reserve of the individual turbines in a farm, in order to improve the tracking accuracy of a power reference signal. The control architecture is based on an open-loop optimal set-point scheduler combined with a feedback corrector, which actively regulate power by both wake steering and induction control. The methodology is compared with a state-of-the-art PI-based controller by means of high-fidelity LES simulations. The new wind farm controller reduces the occurrence of local saturation events, thereby improving the overall tracking accuracy, and limits fatigue loading in conditions of relatively high-power demand.

Original language	English
Title of host publication	2023 American Control Conference, ACC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	192-197
Number of pages	6
ISBN (Electronic)	9798350328066
DOIs	https://doi.org/10.23919/ACC55779.2023.10156275
State	Published - 2023
Event	2023 American Control Conference, ACC 2023 - San Diego, United States Duration: 31 May 2023 → 2 Jun 2023

Publication series

Name	Proceedings of the American Control Conference
Volume	2023-May
ISSN (Print)	0743-1619

Conference

Conference	2023 American Control Conference, ACC 2023
Country/Territory	United States
City	San Diego
Period	31/05/23 → 2/06/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.23919/ACC55779.2023.10156275

Cite this

@inproceedings{00d45016721b48099b13ef245348a895,

title = "A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios",

abstract = "This paper presents a new active power control algorithm designed to maximize the power reserve of the individual turbines in a farm, in order to improve the tracking accuracy of a power reference signal. The control architecture is based on an open-loop optimal set-point scheduler combined with a feedback corrector, which actively regulate power by both wake steering and induction control. The methodology is compared with a state-of-the-art PI-based controller by means of high-fidelity LES simulations. The new wind farm controller reduces the occurrence of local saturation events, thereby improving the overall tracking accuracy, and limits fatigue loading in conditions of relatively high-power demand.",

author = "Simone Tamaro and Bottasso, \{Carlo L.\}",

note = "Publisher Copyright: {\textcopyright} 2023 American Automatic Control Council.; 2023 American Control Conference, ACC 2023 ; Conference date: 31-05-2023 Through 02-06-2023",

year = "2023",

doi = "10.23919/ACC55779.2023.10156275",

language = "English",

series = "Proceedings of the American Control Conference",

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

pages = "192--197",

booktitle = "2023 American Control Conference, ACC 2023",

}

Tamaro, S & Bottasso, CL 2023, A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios. in 2023 American Control Conference, ACC 2023. Proceedings of the American Control Conference, vol. 2023-May, Institute of Electrical and Electronics Engineers Inc., pp. 192-197, 2023 American Control Conference, ACC 2023, San Diego, United States, 31/05/23. https://doi.org/10.23919/ACC55779.2023.10156275

A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios. / Tamaro, Simone; Bottasso, Carlo L.
2023 American Control Conference, ACC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 192-197 (Proceedings of the American Control Conference; Vol. 2023-May).

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

TY - GEN

T1 - A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios

AU - Tamaro, Simone

AU - Bottasso, Carlo L.

PY - 2023

Y1 - 2023

N2 - This paper presents a new active power control algorithm designed to maximize the power reserve of the individual turbines in a farm, in order to improve the tracking accuracy of a power reference signal. The control architecture is based on an open-loop optimal set-point scheduler combined with a feedback corrector, which actively regulate power by both wake steering and induction control. The methodology is compared with a state-of-the-art PI-based controller by means of high-fidelity LES simulations. The new wind farm controller reduces the occurrence of local saturation events, thereby improving the overall tracking accuracy, and limits fatigue loading in conditions of relatively high-power demand.

AB - This paper presents a new active power control algorithm designed to maximize the power reserve of the individual turbines in a farm, in order to improve the tracking accuracy of a power reference signal. The control architecture is based on an open-loop optimal set-point scheduler combined with a feedback corrector, which actively regulate power by both wake steering and induction control. The methodology is compared with a state-of-the-art PI-based controller by means of high-fidelity LES simulations. The new wind farm controller reduces the occurrence of local saturation events, thereby improving the overall tracking accuracy, and limits fatigue loading in conditions of relatively high-power demand.

UR - https://www.scopus.com/pages/publications/85167776917

U2 - 10.23919/ACC55779.2023.10156275

DO - 10.23919/ACC55779.2023.10156275

M3 - Conference contribution

AN - SCOPUS:85167776917

T3 - Proceedings of the American Control Conference

SP - 192

EP - 197

BT - 2023 American Control Conference, ACC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 American Control Conference, ACC 2023

Y2 - 31 May 2023 through 2 June 2023

ER -

A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this