Title :
An Analytical Method for the Reliability Evaluation of Wind Energy Systems
Author :
Ehsani, A. ; Fotuhi, M. ; Abbaspour, A. ; Ranjbar, A.M.
Author_Institution :
Dept. of Technol., Islamic Azad Univ., Tehran
Abstract :
Wind generation is one of the most successful sources of renewable energy for the production of electrical energy. The technical characteristics of wind generation make existing conventional generation models not directly applicable. This paper presents an analytical method for the reliability assessment of the flat-rated wind turbine generation systems. An example of flat rating is that of the MOD-2, a second-generation class of wind turbines. The power-velocity characteristic of the flat-rated wind turbines is employed in this paper to model the operating behavior of the installed wind turbine generators. For wind-power potential estimation, the Weibull distribution model is used. The performance of the developed method is demonstrated with computational results.
Keywords :
Weibull distribution; power generation reliability; wind power plants; wind turbines; MOD-2; Weibull probability distribution model; analytical method; electrical energy production; flat-rated wind turbine generation systems; generation models; power-velocity characteristic; reliability assessment; reliability evaluation; renewable energy; wind energy systems; wind generation; wind-power potential estimation; Character generation; Power generation; Power system modeling; Power system reliability; Production; Renewable energy resources; Weibull distribution; Wind energy; Wind energy generation; Wind turbines; Reliability evaluation; Weibull probability distribution model; wind turbine generation;
Conference_Titel :
TENCON 2005 2005 IEEE Region 10
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7803-9311-2
Electronic_ISBN :
0-7803-9312-0
DOI :
10.1109/TENCON.2005.300832
