DocumentCode
1073684
Title
Generating capacity adequacy associated with wind energy
Author
Billinton, Roy ; Bai, Guang
Author_Institution
Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, Sask., Canada
Volume
19
Issue
3
fYear
2004
Firstpage
641
Lastpage
646
Abstract
The wind is a highly variable energy source and behaves far differently than conventional energy sources. This paper presents a methodology for capacity adequacy evaluation of power systems including wind energy. The results and discussions on two representative systems containing both conventional generation units and wind energy conversion systems (WECS) are presented. A Monte Carlo simulation approach is used to conduct the analysis. The hourly wind speeds are simulated using an autoregressive moving average time-series model. A wide range of studies were conducted on two different sized reliability test systems. The studies show that the contribution of a WECS to the reliability performance of a generation system can be quantified and is highly dependent on the wind site conditions. A WECS can make a significant reliability contribution given a reasonably high wind speed. Wind energy independence also has a significant positive impact on the reliability contribution of multiple WECS.
Keywords
Monte Carlo methods; autoregressive moving average processes; power generation reliability; time series; wind power; wind power plants; Monte Carlo simulation; autoregressive moving average time-series model; capacity adequacy evaluation; conventional generation units; power systems; variable energy source; wind energy; wind energy conversion systems; Autoregressive processes; Power system modeling; Power system reliability; Power system simulation; System testing; Wind energy; Wind energy generation; Wind power generation; Wind speed; Wind turbines; Adequacy evaluation; generating systems; reliability; wind energy;
fLanguage
English
Journal_Title
Energy Conversion, IEEE Transactions on
Publisher
ieee
ISSN
0885-8969
Type
jour
DOI
10.1109/TEC.2004.827718
Filename
1325306
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