Importance of Dynamic Inflow Model Predictive Control of Wind Turbines

Peter Fogh Odgaard, Torben Knudsen, Anders Overgaard, Henrik Steffensen, Martin Østergaard Jørgensen

Research output: Contribution to journalConference article in JournalResearchpeer-review

8 Citations (Scopus)

Abstract

The efficiency of including dynamic inflow in the model based design of wind turbine controller has been discussed for many years in the wind energy community with out getting to a safe conclusion. This paper delivers a good argument in favor of including dynamic inflow. The main contributions are the use of a very simple inflow model, developed by one of the authors and the use of Pareto fronts to facilitate a safe conclusion. The approach is to compare MPC controllers designed with respectively without including dynamic inflow for a mean wind speed just above rated where this dynamics are most pronounces. For this the well accepted NREL 5MW reference turbine simulated with FAST is used. The main result is a reduction in tower fatigue load at 22% while power error, rotor speed error, generator torque and pitch rate is improved from 2 to 33%.
Original languageEnglish
Book seriesI F A C Workshop Series
Volume48
Issue number30
Pages (from-to)90-95
ISSN1474-6670
DOIs
Publication statusPublished - Dec 2015
Event9th IFAC Symposium on Control of Power and Energy Systems CPES 2015 - New Delhi, India
Duration: 9 Dec 201511 Dec 2015

Conference

Conference9th IFAC Symposium on Control of Power and Energy Systems CPES 2015
CountryIndia
CityNew Delhi
Period09/12/201511/12/2015

Fingerprint

Model predictive control
Wind turbines
Dynamic models
Controllers
Wind power
Towers
Turbines
Torque
Rotors
Fatigue of materials

Cite this

Odgaard, Peter Fogh ; Knudsen, Torben ; Overgaard, Anders ; Steffensen, Henrik ; Jørgensen, Martin Østergaard. / Importance of Dynamic Inflow Model Predictive Control of Wind Turbines. In: I F A C Workshop Series. 2015 ; Vol. 48, No. 30. pp. 90-95.
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abstract = "The efficiency of including dynamic inflow in the model based design of wind turbine controller has been discussed for many years in the wind energy community with out getting to a safe conclusion. This paper delivers a good argument in favor of including dynamic inflow. The main contributions are the use of a very simple inflow model, developed by one of the authors and the use of Pareto fronts to facilitate a safe conclusion. The approach is to compare MPC controllers designed with respectively without including dynamic inflow for a mean wind speed just above rated where this dynamics are most pronounces. For this the well accepted NREL 5MW reference turbine simulated with FAST is used. The main result is a reduction in tower fatigue load at 22{\%} while power error, rotor speed error, generator torque and pitch rate is improved from 2 to 33{\%}.",
author = "Odgaard, {Peter Fogh} and Torben Knudsen and Anders Overgaard and Henrik Steffensen and J{\o}rgensen, {Martin {\O}stergaard}",
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Importance of Dynamic Inflow Model Predictive Control of Wind Turbines. / Odgaard, Peter Fogh; Knudsen, Torben; Overgaard, Anders; Steffensen, Henrik; Jørgensen, Martin Østergaard.

In: I F A C Workshop Series, Vol. 48, No. 30, 12.2015, p. 90-95.

Research output: Contribution to journalConference article in JournalResearchpeer-review

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AU - Jørgensen, Martin Østergaard

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AB - The efficiency of including dynamic inflow in the model based design of wind turbine controller has been discussed for many years in the wind energy community with out getting to a safe conclusion. This paper delivers a good argument in favor of including dynamic inflow. The main contributions are the use of a very simple inflow model, developed by one of the authors and the use of Pareto fronts to facilitate a safe conclusion. The approach is to compare MPC controllers designed with respectively without including dynamic inflow for a mean wind speed just above rated where this dynamics are most pronounces. For this the well accepted NREL 5MW reference turbine simulated with FAST is used. The main result is a reduction in tower fatigue load at 22% while power error, rotor speed error, generator torque and pitch rate is improved from 2 to 33%.

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