On Using Wind Speed Preview to Reduce Wind Turbine Tower Oscillations

Maxim Kristalny; Daria Madjidian; Torben Knudsen

doi:10.1109/TCST.2013.2261070

On Using Wind Speed Preview to Reduce Wind Turbine Tower Oscillations

Maxim Kristalny, Daria Madjidian, Torben Knudsen

Research output: Contribution to journal › Journal article › Research › peer-review

32 Citations (Scopus)

Abstract

We investigate the potential of using previewed wind
speed measurements for damping wind turbine fore-aft tower
oscillations. Using recent results on continuous-time H 2 preview
control, we develop a numerically efficient framework for the
feedforward controller synthesis. One of the major benefits of
the proposed framework is that it allows us to account for mea-
surement distortion. This results in a controller that is tailored
to the quality of the previewed data. A simple yet meaningful
parametric model of the measurement distortion is proposed and
used to analyze the effects of distortion characteristics on the
achievable performance and on the required length of preview.
We demonstrate the importance of accounting for the distortion
in the controller synthesis and quantify the potential benefits of
using previewed information by means of simulations based on
real-world turbine data.

Original language	English
Journal	I E E E Transactions on Control Systems Technology
Volume	21
Issue number	4
Pages (from-to)	1191-1198
Number of pages	8
ISSN	1063-6536
DOIs	https://doi.org/10.1109/TCST.2013.2261070
Publication status	Published - 2013

Keywords

Down-rated operation
H2 optimal control
load reduction
preview control
wind turbine control.

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10.1109/TCST.2013.2261070

AUB Link

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AEOLUS: Distributed Control of Large-Scale Offshore Wind Farms
Bak, T., Knudsen, T. & N. Soltani, M.
ICT - INFORMATION AND COMMUNICATION TECHNOLOGIES
01/05/2008 → 30/04/2010
Project: Research

Cite this

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title = "On Using Wind Speed Preview to Reduce Wind Turbine Tower Oscillations",

abstract = "We investigate the potential of using previewed windspeed measurements for damping wind turbine fore-aft toweroscillations. Using recent results on continuous-time H 2 previewcontrol, we develop a numerically efficient framework for thefeedforward controller synthesis. One of the major benefits ofthe proposed framework is that it allows us to account for mea-surement distortion. This results in a controller that is tailoredto the quality of the previewed data. A simple yet meaningfulparametric model of the measurement distortion is proposed andused to analyze the effects of distortion characteristics on theachievable performance and on the required length of preview.We demonstrate the importance of accounting for the distortionin the controller synthesis and quantify the potential benefits ofusing previewed information by means of simulations based onreal-world turbine data.",

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AU - Kristalny, Maxim

AU - Madjidian, Daria

AU - Knudsen, Torben

PY - 2013

Y1 - 2013

N2 - We investigate the potential of using previewed windspeed measurements for damping wind turbine fore-aft toweroscillations. Using recent results on continuous-time H 2 previewcontrol, we develop a numerically efficient framework for thefeedforward controller synthesis. One of the major benefits ofthe proposed framework is that it allows us to account for mea-surement distortion. This results in a controller that is tailoredto the quality of the previewed data. A simple yet meaningfulparametric model of the measurement distortion is proposed andused to analyze the effects of distortion characteristics on theachievable performance and on the required length of preview.We demonstrate the importance of accounting for the distortionin the controller synthesis and quantify the potential benefits ofusing previewed information by means of simulations based onreal-world turbine data.

AB - We investigate the potential of using previewed windspeed measurements for damping wind turbine fore-aft toweroscillations. Using recent results on continuous-time H 2 previewcontrol, we develop a numerically efficient framework for thefeedforward controller synthesis. One of the major benefits ofthe proposed framework is that it allows us to account for mea-surement distortion. This results in a controller that is tailoredto the quality of the previewed data. A simple yet meaningfulparametric model of the measurement distortion is proposed andused to analyze the effects of distortion characteristics on theachievable performance and on the required length of preview.We demonstrate the importance of accounting for the distortionin the controller synthesis and quantify the potential benefits ofusing previewed information by means of simulations based onreal-world turbine data.

KW - Down-rated operation

KW - H2 optimal control

KW - load reduction

KW - preview control

KW - wind turbine control.

U2 - 10.1109/TCST.2013.2261070

DO - 10.1109/TCST.2013.2261070

M3 - Journal article

SN - 1063-6536

VL - 21

SP - 1191

EP - 1198

JO - I E E E Transactions on Control Systems Technology

JF - I E E E Transactions on Control Systems Technology

IS - 4

ER -

On Using Wind Speed Preview to Reduce Wind Turbine Tower Oscillations

Abstract

Keywords

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Projects

AEOLUS: Distributed Control of Large-Scale Offshore Wind Farms

Cite this