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
Link To Document :
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