IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Modeling and Analysis of Generation System Based on Markov Process with Case Study


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International Journal for Innovative Research in Science & Technology
Volume 1 Issue - 11
Year of Publication : 2015
Authors : Miss.Vijayalaxmi Dharwd, ; Dr.S.B.Karjagi

BibTeX:

@article{IJIRSTV1I11143,
     title={Modeling and Analysis of Generation System Based on Markov Process with Case Study},
     author={Miss.Vijayalaxmi Dharwd, and Dr.S.B.Karjagi },
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={539--545},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11143.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

Power system is very complex and tedious task to study the reliability of whole system. In this work we are concentrating only on the reliability evaluation of the generation system. The reliability analysis of the generation system is applied in numerous ways. These ways are differing in time consumption and technology. Compared to simulation technique Markov technique has additional benefits. In this work using Markov process, Frequency and Duration of system, transient and steady-state probabilities are calculated for Bhoruka Power Corporation of Gadag.


Keywords:

Reliability, Adequacy, Generation Model, Load Model, Risk Model, Markov Chain, MTTFF
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