DocumentCode
2532753
Title
Wind speed modeling and energy production simulation with Weibull sampling
Author
Yu, Zuwei ; Tuzuner, Akiner
Author_Institution
Energy Center, Purdue Univ., West Lafayette, IN
fYear
2008
fDate
20-24 July 2008
Firstpage
1
Lastpage
6
Abstract
This paper describes the maximum likely estimation (MLE) method and the method of moments (MOM) for wind speed modeling. The Weibull wind speed distribution models are fitted using the two methods and the wind data from a tall tower in the Midwestern United States, with seasonal wind speed variations also considered in the modeling. It turned out that both methods provide very similar results with comparable accuracy. The Monte Carlo simulation is used for obtaining expected wind energy production using a Weibull sampling technique.
Keywords
Monte Carlo methods; Weibull distribution; maximum likelihood estimation; method of moments; wind power plants; Midwestern United States; Monte Carlo simulation; Weibull sampling; energy production simulation; maximum likely estimation method; method of moments; speed distribution models; wind energy production; wind speed modeling; Maximum likelihood estimation; Message-oriented middleware; Moment methods; Power system modeling; Power system simulation; Production systems; Sampling methods; Weibull distribution; Wind energy; Wind speed; MLE; MOM; Weibull distribution; Wind speed; energy production;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location
Pittsburgh, PA
ISSN
1932-5517
Print_ISBN
978-1-4244-1905-0
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2008.4596166
Filename
4596166
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