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Technical Brief

About the Extension of Wind Turbine Power Curve in the High Wind Region

[+] Author and Article Information
Davide Astolfi

Department of Engineering,
University of Perugia,
Via G. Duranti 93,
Perugia 06125, Italy
e-mail: davide.astolfi@unipg.it

Francesco Castellani

Department of Engineering,
University of Perugia,
Via G. Duranti 93,
Perugia 06125, Italy
e-mail: francesco.castellani@unipg.it

Andrea Lombardi

Technology Specialist,
Renvico srl,
Via San Gregorio 34,
Milano 20124, Italy
e-mail: andrea.lombardi@renvico.it

Ludovico Terzi

Technology Manager,
Renvico srl,
Via San Gregorio 34,
Milano 20124, Italy
e-mail: ludovico.terzi@renvico.it

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received January 22, 2018; final manuscript received August 7, 2018; published online September 14, 2018. Assoc. Editor: Yves Gagnon.

J. Sol. Energy Eng 141(1), 014501 (Sep 14, 2018) (5 pages) Paper No: SOL-18-1036; doi: 10.1115/1.4041156 History: Received January 22, 2018; Revised August 07, 2018

The financial sustainability and the profitability of wind farms strongly depend on the efficiency of the conversion of wind kinetic energy. This motivates further research about the improvement of wind turbine power curve. If the site is characterized by a considerable occurrence of very high wind speeds, it can become particularly profitable to update the power curve management. This is commonly done by raising the cut-out velocity and the high wind speed cut-in regulating the hysteresis logic. Doing this, on one side, the wind turbine possibly undergoes strong vibration and loads. On the other side, the energy improvement is almost certain and the point is quantifying precisely its magnitude. In this work, the test case of an onshore wind farm in Italy is studied, featuring 17 2.3 MW wind turbines. Through the analysis of supervisory control and data acquisition (SCADA) data, the energy improvement from the extension of the power curve in the high wind speed region is simulated and measured. This could be useful for wind farm owners evaluating the realistic profitability of the installation of the power curve upgrade on their wind turbines. Furthermore, the present work is useful for the analysis of wind turbine behavior under extremely stressing load conditions.

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References

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Figures

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Fig. 1

The layout of the test-case wind farm

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Fig. 2

The wind direction rose, measured from Jan. 1, 2015 to Jan. 1, 2018, computed from wind turbine nacelle positions

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Fig. 3

The wind speed distribution, measured from Jan. 1, 2015 to Jan. 1, 2018. The source is the wind turbine nacelle anemometer.

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Fig. 4

A sample power curve before upgrade: D2 and D3 data sets

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Fig. 5

A sample power curve postupgrade: D1 data set

Tables

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