DocumentCode
1418557
Title
Assessment of risk-based capacity benefit factors associated with wind energy conversion systems
Author
Billinton, R. ; Chen, Hua
Author_Institution
Dept. of Electr. Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
Volume
13
Issue
3
fYear
1998
fDate
8/1/1998 12:00:00 AM
Firstpage
1191
Lastpage
1196
Abstract
A wind energy conversion system (WECS) has a different impact on the load carrying capability of a generating system than does a conventional energy conversion system. This is mainly due to the variation in wind velocity. Two risk-based capacity indices designated as load carrying capacity benefit ratio (LCCBR) and equivalent capacity rate (ECR) are introduced in this paper. These two indices can be used to indicate capacity benefit and credit of a WECS, and thus provide valuable information for energy policy makers in decision problems involving the selection and classification of wind sites. A midpoint sectionalized technique has been developed to calculate the incremental peak load carrying capability (IPLCC) and to assess the LCCBR and ECR. The technique is effective and usually takes only a few iterations to obtain the indices. Sequential Monte Carlo simulation is utilized to estimate the adequacy of a generating systems including WECS. A small reliability test system containing WECS is utilized to illustrate the proposed technique
Keywords
Monte Carlo methods; load (electric); reliability; risk management; wind turbines; Monte Carlo simulation; decision problems; equivalent capacity rate; generating system; incremental peak load carrying capability; load carrying capability; load carrying capacity benefit ratio; midpoint sectionalized technique; reliability test; risk-based capacity benefit factors; risk-based capacity indices; wind energy conversion systems; wind velocity variation; Energy conversion; Power system modeling; Power system planning; Power system reliability; System testing; Wind energy; Wind energy generation; Wind farms; Wind power generation; Wind speed;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.709119
Filename
709119
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