DocumentCode :
1286526
Title :
Site matching of wind turbine generators: a case study
Author :
Jangamshetti, Suresh H. ; Rau, V. Guruprasada
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, India
Volume :
14
Issue :
4
fYear :
1999
fDate :
12/1/1999 12:00:00 AM
Firstpage :
1537
Lastpage :
1543
Abstract :
Site matching of wind turbine generators is investigated based on the appropriate selection of statistical models and means of wind speed data. The wind speed means are computed using arithmetic mean, root mean square and cubic mean cuberoot. Wind speed frequency distributions are modelled using Weibull and Rayleigh probability density functions. Wind speed data of an existing wind power station, located at Kappadagudda, Karnataka, India, is used for computational purposes. The analytically obtained capacity factors are validated by comparing with the actual capacity factors obtained at Kappadagudda. It is observed that the capacity factors computed from the Weibull statistical model using cubic mean of wind speed data fairly match the actual capacity factors obtained from Kappadagudda wind power station. Various commercially available wind turbine generators are used for site matching studies. The model described in the paper is useful for planning of wind power stations as it can be applied for the accurate assessment of wind power potential at a site
Keywords :
Weibull distribution; power generation planning; probability; statistical analysis; turbogenerators; wind power plants; wind turbines; India; Rayleigh probability density function; Weibull probability density function; arithmetic mean; capacity factors; case study; cubic mean cuberoot; root mean square; site matching; statistical models; wind power potential assessment; wind power station; wind speed frequency distributions; wind turbine-generators; Appropriate technology; Arithmetic; Computer aided software engineering; Power system modeling; Power system planning; Velocity measurement; Wind energy; Wind energy generation; Wind speed; Wind turbines;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/60.815102
Filename :
815102
Link To Document :
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