Health-aware Model Predictive Control of Wind Turbines using Fatigue Prognosis

Hector Eloy Sanchez Sardi; Teressa Escobet; Vicenc Puig; Peter Fogh Odgaard

doi:10.1016/j.ifacol.2015.09.715

Health-aware Model Predictive Control of Wind Turbines using Fatigue Prognosis

Hector Eloy Sanchez Sardi, Teressa Escobet, Vicenc Puig, Peter Fogh Odgaard

Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review

20 Citationer (Scopus)

Abstract

Wind turbines components are subject to considerable fatigue due to extreme
environmental conditions to which are exposed, especially those located offshore. Interest in the integration of control with fatigue load minimization has increased in recent years. The integration of a system health management module with the control provides a mechanism for the wind turbine to operate safely and optimize the trade-off between components life and energy production.
The research presented in this paper explores the integration of model predictive control (MPC) with fatigue-based prognosis approach to minimize the damage of wind turbine components (the blades). The controller objective is modified by adding an extra criterion that takes into account the accumulated damage. The scheme is implemented and tested using a high fidelity simulator
of a utility scale wind turbine.

Originalsprog	Engelsk
Bogserie	I F A C Workshop Series
Vol/bind	48
Udgave nummer	21
Sider (fra-til)	1363-1368
ISSN	1474-6670
DOI	https://doi.org/10.1016/j.ifacol.2015.09.715
Status	Udgivet - sep. 2015
Begivenhed	9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Paris, Frankrig Varighed: 2 sep. 2015 → 4 sep. 2015 Konferencens nummer: 9

Konference

Konference	9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Nummer	9
Land/Område	Frankrig
By	Paris
Periode	02/09/2015 → 04/09/2015

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10.1016/j.ifacol.2015.09.715

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Citationsformater

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title = "Health-aware Model Predictive Control of Wind Turbines using Fatigue Prognosis",

abstract = "Wind turbines components are subject to considerable fatigue due to extremeenvironmental conditions to which are exposed, especially those located offshore. Interest in the integration of control with fatigue load minimization has increased in recent years. The integration of a system health management module with the control provides a mechanism for the wind turbine to operate safely and optimize the trade-off between components life and energy production.The research presented in this paper explores the integration of model predictive control (MPC) with fatigue-based prognosis approach to minimize the damage of wind turbine components (the blades). The controller objective is modified by adding an extra criterion that takes into account the accumulated damage. The scheme is implemented and tested using a high fidelity simulatorof a utility scale wind turbine. ",

author = "Sardi, {Hector Eloy Sanchez} and Teressa Escobet and Vicenc Puig and Odgaard, {Peter Fogh}",

year = "2015",

month = sep,

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language = "English",

volume = "48",

pages = "1363--1368",

journal = "I F A C Workshop Series",

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note = "9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes ; Conference date: 02-09-2015 Through 04-09-2015",

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AU - Sardi, Hector Eloy Sanchez

AU - Escobet, Teressa

AU - Puig, Vicenc

AU - Odgaard, Peter Fogh

N1 - Conference code: 9

PY - 2015/9

Y1 - 2015/9

N2 - Wind turbines components are subject to considerable fatigue due to extremeenvironmental conditions to which are exposed, especially those located offshore. Interest in the integration of control with fatigue load minimization has increased in recent years. The integration of a system health management module with the control provides a mechanism for the wind turbine to operate safely and optimize the trade-off between components life and energy production.The research presented in this paper explores the integration of model predictive control (MPC) with fatigue-based prognosis approach to minimize the damage of wind turbine components (the blades). The controller objective is modified by adding an extra criterion that takes into account the accumulated damage. The scheme is implemented and tested using a high fidelity simulatorof a utility scale wind turbine.

AB - Wind turbines components are subject to considerable fatigue due to extremeenvironmental conditions to which are exposed, especially those located offshore. Interest in the integration of control with fatigue load minimization has increased in recent years. The integration of a system health management module with the control provides a mechanism for the wind turbine to operate safely and optimize the trade-off between components life and energy production.The research presented in this paper explores the integration of model predictive control (MPC) with fatigue-based prognosis approach to minimize the damage of wind turbine components (the blades). The controller objective is modified by adding an extra criterion that takes into account the accumulated damage. The scheme is implemented and tested using a high fidelity simulatorof a utility scale wind turbine.

U2 - 10.1016/j.ifacol.2015.09.715

DO - 10.1016/j.ifacol.2015.09.715

M3 - Conference article in Journal

SN - 1474-6670

VL - 48

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EP - 1368

JO - I F A C Workshop Series

JF - I F A C Workshop Series

IS - 21

T2 - 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes

Y2 - 2 September 2015 through 4 September 2015

ER -

Health-aware Model Predictive Control of Wind Turbines using Fatigue Prognosis

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