Frequency-weighted MPC of Trailing Edge Flaps. Tests...

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Frequency-weighted MPC of Trailing Edge Flaps. Tests on a V27. Damien Castaignet (Vestas Wind Systems A/S, Global Research) Thomas Buhl (Risø DTU, National Laboratories for Sustainable Energy) Niels K. Poulsen (Technical University of Denmark, DTU Informatics) Jens Jakob Wedel-Heinen (Vestas Wind Systems A/S, Global Research) [November 29 th 2011, Wind Turbine Control Symposium, Ålborg]

Transcript of Frequency-weighted MPC of Trailing Edge Flaps. Tests...

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Frequency-weighted MPC of Trailing Edge Flaps. Tests on a V27.

Damien Castaignet (Vestas Wind Systems A/S, Global Research)

Thomas Buhl (Risø DTU, National Laboratories for Sustainable Energy)

Niels K. Poulsen (Technical University of Denmark, DTU Informatics)

Jens Jakob Wedel-Heinen (Vestas Wind Systems A/S, Global Research)

[November 29th 2011, Wind Turbine Control Symposium, Ålborg]

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2011 Wind Turbine Control Symposium 2

Outline

• Trailing Edge Flaps

ᅳ Background

ᅳ Motivation

• Model Predictive Control

ᅳ Design Model (Blade model)

ᅳ Frequency weighted control

• Results

ᅳ Simulations

ᅳ Field tests

• Conclusions

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2011 Wind Turbine Control Symposium 3

Why use Trailing Edge Flaps?

Wind turbulence

Wind shear

Wake of another turbine

Tower shadow

Yaw misalignment

Wind slope

Loads in all parts of the

wind turbine

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Why use Trailing Edge Flaps?

Today’s solution: Individual Pitch Control (IPC)

• Each blade can pitch individually

• Power control and load reduction

• But slow actuation due to the inertia of the blade (mass > 6 tons)

Trailing Edge Flaps (TEF)

• Controls the flow locally (more efficient)

• High actuation frequency

Up to 28% load reduction [1]

Up to 60% load reduction [2]

[1] Larsen, T. J., Madsen, H. A., and Thomsen, K., “Active load reduction using individual pitch, based on local blade flow measurements,” Wind Energy, Vol. 8, No. 1, 2005, pp. 67–80.

[2] Andersen, P. B., Gaunaa, M., Bak, C., and Buhl, T., “Deformable trailing edge flaps for modern megawatt wind turbine controllers using strain gauge sensors,” Wind Energy, Vol. 13, No. 2, 2010,

pp. 193–206.

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Outline

•Trailing Edge Flaps

ᅳ Background

ᅳ Motivation

• Model Predictive Control

ᅳ Design Model (Blade model)

ᅳ Frequency weighted control

• Results

ᅳ Simulations

ᅳ Field tests

• Conclusions

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2011 Wind Turbine Control Symposium 6

System – V27

V27 Vestas turbine:

- located at Risø DTU

- 27 m diameter

- 225 kW nominal power

- 3 independent flaps on one blade

- extra sensors

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A modal model is used: the blade is modelled by its first Nm mode shapes

Newton’s 2nd law is applied for each mode shape

Design Model – Blade Model

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Design Model – Blade Model

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Design Model – Blade Model

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MPC – a frequency problem

Time series and

PSD of the blade

root flap moment

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MPC – Cost on the outputs

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System

Predicted outputs

Cost on the predicted outputs

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Frequency weighted MPC – Cost on filtered outputs

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Output filter

Predicted filtered outputs

Cost on the predicted filtered outputs

Frequency weighted MPC – Cost on filtered outputs

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Frequency weighted MPC – Cost on zero-phase filtered outputs

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MPC – Frequency weighted control – Cost on ZPF outputs

t=0

horizon measurements

time

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Outline

• Trailing Edge Flaps

ᅳ Background

ᅳ Motivation

• Model Predictive Control

ᅳ Design Model (Blade model)

ᅳ Frequency weighted control

• Results

ᅳ Simulations

ᅳ Field tests

• Conclusions

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Simulation code – Flex5

Flex5, developed by DTU Mechanical

Engineering.

Blade Element Momentum (BEM) model

Blades and tower are flexible

Engineering models:

Tip correction

Dynamic wake

Dynamic stall model from Risø DTU [3]

Quadratic Program solver from the

university of Leuven, Belgium [4]

[3] P. B. Andersen, M. Gaunaa, C. Bak, and M. H. Hansen, “A dynamic stall model for airfoils with deformable trailing edges,” Wind Energy, vol. 12, no. 8, pp. 734–751, 2009.

[4] qpOASES homepage. [Online]. Available: http://www.kuleuven.be/optec/software/qpOASES

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Simulations

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Simulations – zero-phase filters

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Field tests

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• MPC with costs on zero-phase

filtered inputs and outputs

• Focus on the 1P and 2P loads

• No pitch position sensor

• Only one working trailing edge

flap

• 38 minute test including:

• 10 2-minute tests with active

trailing edge flaps

• 9 2-minute tests with fixed

trailing edge flaps

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Field tests

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Field tests

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In average: 13.8% load reduction

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Field tests – system identification

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System identification from Thanasis Barlas, based on TU Delft work.

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Conclusions

A model predictive control has been designed in order to alleviate blade root loads with

emphasize on given load frequencies.

Costs on zero-phase filtered inputs and output increase the performance of the MPC.

Field test showed load reduction: more tests needed to confirm the fatigue load reduction!

Acknowledgement: This work is part of the ATEF

project, which is partially funded by Danish

National Advanced Technology Foundation

(Højteknologifonden)

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