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.

References

1.
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
.
2.
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
.
3.
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.
4.
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.
5.
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.
6.
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.
7.
Petrović
,
V.
, and
Bottasso
,
C. L.
,
2014
, “
Wind Turbine Optimal Control During Storms
,”
J. Phys.: Conf. Ser.
,
524
, p.
012052
.
8.
Petrovi
,
V.
, and
Bottasso
,
C. L.
,
2017
, “
Wind Turbine Envelope Protection Control Over the Full Wind Speed Range
,”
Renewable Energy
,
111
, pp. 836–848.
9.
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
.
10.
Tibaldi
,
C.
, and
Hansen
,
M. H.
,
2016
, “
Aeroservoelastic Analysis of Storm-Ride-Through Control Strategies for Wind Turbines
,”
AIAA
Paper No. AIAA 2016-1740.
11.
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.
12.
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.
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