Wind-power ramps are a significant source of uncertainty in wind-energy forecasting and are a challenge to electric-grid stability. In the Canadian province of Alberta, strong westerly winds buffet the Rocky Mountains creating an abundant yet intermittent wind energy resource in the plains of Alberta. In the current study, wind-power ramp events have been detected and correlated to several environmental factors including time-of-day, atmospheric stability, season and a Föhn wind event known locally as a Chinook wind at a field wind measurement station downstream of the Rocky Mountains. Large wind-power ramps (a 50% change in power in less than 4 h) were found to occur on days when a Föhn wind was present over 50% of the time. The result highlights the importance of this meteorological phenomenon to wind energy production locally and also in regions where Föhn winds occur. The detected wind-power ramps were found to vary significantly with season, with the strongest wind-power ramps emanating from the Rocky Mountains in the winter months under stable atmospheric conditions.

1.
AWS Truewind
, “
AWS truewinds final report for the Alberta forecasting pilot project
,”
Technical Report
(Alberta Electric System Operator,
2008
), pdf available online at www.uwig.org/Alberta_PP_Final_Report_AWST_Jun25.pdf.
2.
C.
Ferreira
,
J.
Gama
,
L.
Matias
,
A.
Botterud
, and
J.
Wang
, “
A survey on wind power ramp forecasting
,”
Technical Report No. ANL/DIS-10-13
(Argonne National Laboratory,
2010
).
3.
R.
Sevlian
and
R.
Rajagopal
,
IEEE Trans. Power Syst.
28
,
3610
(
2013
).
4.
C.
Gallego
,
A.
Costa
,
A.
Cuerva
,
L.
Landberg
,
B.
Greaves
, and
J.
Collins
,
Wind Energy
16
,
257
(
2013
).
5.
J.
Freedman
,
M.
Markus
, and
R.
Penc
, “
Analysis of West Texas wind plant ramp-up and ramp-down events
,”
Technical Report
(AWS Truewind,
2008
), pdf available online at http://interchange.puc.state.tx.us/WebApp/Interchange/Documents/33672_1014_580034.PDF.
6.
C.
Kamath
, “
Understanding wind ramp events through analysis of historical data
,”
Technical Report No. LLNL-CONF-416432
(Lawrence Livermore National Laboratory,
2009
).
7.
C.
Kamath
, “
Associating weather conditions with ramp events in wind power generation
,”
Technical Report No. LLNL-CONF-457176
(Lawrence Livermore National Laboratory,
2010
).
10.
H.
Osmond
,
Can. J. Res.
19a
,
57
(
1941
).
11.
S.
Drechsel
and
G.
Mayr
,
Weather Forecasting
23
,
205
(
2008
).
12.
Natural Resources Canada, GeoGratis database,
2014
.
13.
G.
Rosi
,
R.
Martinuzzi
, and
D.
Rival
,
J. Wind Eng. Ind. Aerodyn.
119
,
89
(
2013
).
14.
M.
Hayashi
,
J.
Jackson
, and
L.
Xu
,
Can. Water Resour. J.
35
,
187
208
(
2010
).
15.
J.
King
,
A.
Clifton
, and
B.-M.
Hodge
, “
Validation of the power output for the wind toolkit
,”
Technical Report No. NREL/CP-5D00-61714
(National Renewable Energy Laboratory,
2014
).
16.
B.
Greaves
,
J.
Collins
,
J.
Parkes
, and
A.
Tindal
, in
Proceedings of the European Wind Energy Conference and Exhibition (EWEC)
,
Marseille, France
,
2009
.
17.
U.
Focken
and
M.
Lange
, “
Wind power forecasting pilot project in Alberta, Canada
,”
Technical Report
(Energy and Meteo Systems, Oldenburg, Germany,
2008
), pdf available online at http://www.uwig.org/final_report_emsys_lv.pdf.
18.
J.
Newman
and
P.
Klein
,
Resources
3
,
81
(
2014
).
19.
S.
Pal Arya
,
Introduction to Micrometeorology
, 2nd ed. (
Academic Press
,
San Diego
,
2001
), p.
25
.
20.
S.-E.
Gryning
,
E.
Batchvarova
,
B.
Brümmer
,
H.
Jørgensen
, and
S.
Larsen
,
Boundary Layer Meteorol.
124
,
251
(
2007
).
21.
E.
Ela
and
J.
Kemper
, “
Wind plant ramping behavior
,”
Technical Report No. NREL/TP-550-46938
(National Renewable Energy Laboratory,
2009
).
22.
You do not currently have access to this content.