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
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;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596166