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.

Copyright © 2019 by ASME
Your Session has timed out. Please sign back in to continue.


Kusiak, A. , and Zheng, H. , 2010, “Optimization of Wind Turbine Energy and Power Factor With an Evolutionary Computation Algorithm,” Energy, 35(3), pp. 1324–1332. [CrossRef]
Lee, G. , Ding, Y. , Xie, L. , and Genton, M. G. , 2015, “A Kernel Plus Method for Quantifying Wind Turbine Performance Upgrades,” Wind Energy, 18(7), pp. 1207–1219. [CrossRef]
Horváth, L. , Panza, T. , and Karadža, N. , 2007, “The Influence of High Wind Hysteresis Effect on Wind Turbine Power Production at Bura-Dominated Site,” European Wind Energy Conference Exhibition (EWEC 2007), Milan, Italy, May 7–10.
Markou, H. , and Larsen, T. J. , 2009, “Control Strategies for Operation of Pitch Regulated Turbines Above Cut-Out Wind Speeds,” European Wind Energy Conference and Exhibition (EWEC 2009), Marseille, France, Mar. 16–19.
Bossanyi, E. , and King, J. , 2012, “Improving Wind Farm Output Predictability by Means of a Soft Cut-Out Strategy,” European Wind Energy Conference and Exhibition (EWEC 2012), Copenhagen, Denmark, Apr. 16–19.
Jelavić, M. , Petrović, V. , Barišić, M. , and Ivanović, I. , 2013, “Wind Turbine Control Beyond the Cut-Out Wind Speed,” Annual Conference and Exhibition of European Wind Energy Association (EWEA2013), Vienna, Austria, Feb. 4–7.
Petrović, V. , and Bottasso, C. L. , 2014, “Wind Turbine Optimal Control During Storms,” J. Phys.: Conf. Ser., 524, p. 012052. [CrossRef]
Petrovi, V. , and Bottasso, C. L. , 2017, “Wind Turbine Envelope Protection Control Over the Full Wind Speed Range,” Renewable Energy, 111, pp. 836–848.
Xu, B.-F. , Cao, J.-F. , Yuan, Y. , and Wang, T.-G. , 2015, “Control Strategy for Operation of Large-Scale Wind Turbines Above Cut-Out Wind Speeds,” Chin. J. Comput. Mech., 32(3), pp. 366–371.
Tibaldi, C. , and Hansen, M. H. , 2016, “Aeroservoelastic Analysis of Storm-Ride-Through Control Strategies for Wind Turbines,” AIAA Paper No. AIAA 2016-1740.
Sohoni, V. , Gupta, S. , and Nema, R. , 2016, “A Critical Review on Wind Turbine Power Curve Modelling Techniques and Their Applications in Wind Based Energy Systems,” J. Energy, 2016, p. 18.
IEC, 2017, “Wind Energy Generation Systemspart 12-1: Power Performance Measurements of Electricity Producing Wind Turbines,” International Electrotechnical Commission, Geneva, Switzerland, Standard No. IEC61400-12-1:2017 https://webstore.iec.ch/publication/26603.


Grahic Jump Location
Fig. 1

The layout of the test-case wind farm

Grahic Jump Location
Fig. 2

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

Grahic Jump Location
Fig. 3

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

Grahic Jump Location
Fig. 4

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

Grahic Jump Location
Fig. 5

A sample power curve postupgrade: D1 data set



Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In