Uncertainties and Wakes for Short-term Power Production of a Wind Farm

Tuhfe Göçmen; Gregor Giebel

doi:10.2514/6.2018-0252

Uncertainties and Wakes for Short-term Power Production of a Wind Farm

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

Abstract

Similar to the conventional power plants, the wind farms are expected to contribute to the grid stability and communicate with the system operators regarding the potential power production on much shorter time scales than AEP or even 10-min. Additionally, increasing interest to aerodynamic control of wind farms, both in the research community and in the industry, necessitates the wake models to be more accurate and reliable at shorter intervals. In this study, we discuss the uncertainties attached to an engineering wake model derived for 1-sec turbine data, and investigate the methods for reducing the uncertainty of such an application via further training the model for the wind farm and the time period in question using the historical data.

Original language	English
Title of host publication	Proceedings of the 2018 Wind Energy Symposium
Number of pages	8
Publisher	American Institute of Aeronautics and Astronautics
Publication date	2018
ISBN (Electronic)	978-1-62410-522-7
DOIs	https://doi.org/10.2514/6.2018-0252
Publication status	Published - 2018
Event	2018 Wind Energy Symposium - Kissimmee, United States Duration: 8 Jan 2018 → 12 Jan 2018

Conference

Conference	2018 Wind Energy Symposium
Country/Territory	United States
City	Kissimmee
Period	08/01/2018 → 12/01/2018

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title = "Uncertainties and Wakes for Short-term Power Production of a Wind Farm",

abstract = "Similar to the conventional power plants, the wind farms are expected to contribute to the grid stability and communicate with the system operators regarding the potential power production on much shorter time scales than AEP or even 10-min. Additionally, increasing interest to aerodynamic control of wind farms, both in the research community and in the industry, necessitates the wake models to be more accurate and reliable at shorter intervals. In this study, we discuss the uncertainties attached to an engineering wake model derived for 1-sec turbine data, and investigate the methods for reducing the uncertainty of such an application via further training the model for the wind farm and the time period in question using the historical data.",

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AU - Göçmen, Tuhfe

AU - Giebel, Gregor

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N2 - Similar to the conventional power plants, the wind farms are expected to contribute to the grid stability and communicate with the system operators regarding the potential power production on much shorter time scales than AEP or even 10-min. Additionally, increasing interest to aerodynamic control of wind farms, both in the research community and in the industry, necessitates the wake models to be more accurate and reliable at shorter intervals. In this study, we discuss the uncertainties attached to an engineering wake model derived for 1-sec turbine data, and investigate the methods for reducing the uncertainty of such an application via further training the model for the wind farm and the time period in question using the historical data.

AB - Similar to the conventional power plants, the wind farms are expected to contribute to the grid stability and communicate with the system operators regarding the potential power production on much shorter time scales than AEP or even 10-min. Additionally, increasing interest to aerodynamic control of wind farms, both in the research community and in the industry, necessitates the wake models to be more accurate and reliable at shorter intervals. In this study, we discuss the uncertainties attached to an engineering wake model derived for 1-sec turbine data, and investigate the methods for reducing the uncertainty of such an application via further training the model for the wind farm and the time period in question using the historical data.

U2 - 10.2514/6.2018-0252

DO - 10.2514/6.2018-0252

M3 - Article in proceedings

BT - Proceedings of the 2018 Wind Energy Symposium

PB - American Institute of Aeronautics and Astronautics

T2 - 2018 Wind Energy Symposium

Y2 - 8 January 2018 through 12 January 2018

ER -

Uncertainties and Wakes for Short-term Power Production of a Wind Farm

Abstract

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