DocumentCode :
2063744
Title :
Intra-hour wind power characteristics for flexible operations
Author :
Nazir, M.S. ; Bouffard, F.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
In this paper we analyze variability over time in wind energy, focusing primarily on intra-hour variations. We model the time duration dependency and other conditional aspects of wind variability. We analyze variability both in the time and frequency domains and relate this analysis with empirical variability probability distributions using historical wind power from the Bonneville Power Authority. Distribution fitting of in-tra-hour variability was done, considering normal, Laplace and skew-Laplace distributions. We found that of the variability is skewed and peaky indicating that skew-Laplace distributions are superior to other probability density functions to describe wind variability in time intervals of less than an hour. The time domain interpretation of the power spectral density estimates of the wind power variability indicate that for time duration of 30 minutes to 1 hour wind fluctuation can be quite considerable. We discuss the results of our analysis in relation to its potential short-term power system operations implications with high wind power penetration.
Keywords :
frequency-domain analysis; statistical distributions; time-domain analysis; wind power plants; Bonneville Power Authority; empirical variability probability distributions; frequency-domain analysis; high wind power penetration; intrahour wind power characteristics; power spectral density; probability density functions; short-term power system operations; skew-Laplace distributions; time 30 min to 1 hour; time duration dependency; time-domain analysis; wind energy; wind variability; Aggregates; Fluctuations; Frequency domain analysis; Generators; Histograms; Power systems; Wind power generation; Flexibility; intra-hour variability; operational flexibility; power spectral density; skew-Laplace distribution; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345495
Filename :
6345495
Link To Document :
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