DocumentCode
628843
Title
Identification of reliability of wind power generation and its mathematical modeling
Author
Rajeevan, A.K. ; Shouri, P.V. ; Nair, Usha
Author_Institution
Sch. of Eng., Cochin Univ. of Sci. & Technol. (CUSAT), Cochin, India
fYear
2013
fDate
4-6 June 2013
Firstpage
1
Lastpage
5
Abstract
A wind turbine generator output power at a specific site depends on a number of factors, particularly cut-in, rated and cut-out wind speed parameters. So the output power varies from turbine to turbine. The purpose of this paper is to develop a mathematical relationship between reliability and wind power generation. The analytical calculation of monthly wind power is got from Weibull statistical model using cubic mean cube root of wind speed. Reliability evaluation is based on failure probability analysis. Now days different types of wind turbines are commercially available in the market. In reliability point of view, to get optimum reliability in power generation, it is better to select a wind turbine generator which is the best suited for a site. The mathematical relationship derived in this paper can be useful to wind power planners and policy makers.
Keywords
Weibull distribution; power generation faults; power generation reliability; turbogenerators; wind power plants; wind turbines; Weibull statistical model; cut-in wind speed parameters; cut-out wind speed parameters; failure probability analysis; mathematical modeling; rated wind speed parameters; wind power generation reliability identification; wind speed cubic mean cube root; wind turbine generator output power; Generators; Mathematical model; Power system reliability; Reliability; Wind power generation; Wind speed; Wind turbines; Weibull probability density function; reliability; wind power; wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR), 2013 Annual International Conference on
Conference_Location
Kanjirapally
Print_ISBN
978-1-4673-5150-8
Type
conf
DOI
10.1109/AICERA-ICMiCR.2013.6576040
Filename
6576040
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