Affiliation:
1. Department of Industrial Engineering , Faculty of Engineering , Yazd University , Yazd , Iran
Abstract
Abstract
We aim to extend the Markov System Dynamic method (MSD) to evaluate the reliability of repairable systems in two-state weather (2SW) models. Increasing the number of components in real practices has limited the use of the Markov method, because of increasing the number of equations and the complexity of the problem. There is no such restriction in the MSD method. Thus, it can be applied to complex systems. Theoretically, we indicate that the 2SW model is a type of linear dynamical system. Therefore, we can use MSD to solve it. Through an example, the validity of the proposed method is confirmed in comparison to the Markov method for the 2SW model. Since the MSD method does not use equations, it can be a preferred alternative for calculating the reliability of 2SW models. Accordingly, we apply the MSD method for assessing the reliability of a four-component system.
Reference21 articles.
1. J. R. Acharya,
Weather effect considerations in reliability evaluation of electrical transmission and distribution systems,
Thesis, University of Saskatchewan, 2005.
2. S. B. Aruna, D. Suchitra, R. Rajarajeswari and S. George Fernandez,
A comprehensve review on the modern power system reliability assessment,
Int. J. Renewable Energy Res. 11 (2021), no. 4, 1734–1747.
3. C. Bhargava, P. Murty and P. Sreevani,
Reliability Assessment of Radial distribution system incorporating weather effects,
Int. J. Eng. Res. Dev. 6 (2013), no. 7, 45–51.
4. R. Billinton and K. E. Bollinger,
Transmission system reliability evaluation using Markov processes,
IEEE Trans. Power Apparatus Syst. PAS-87 (1968), no. 2, 538–547.
5. R. Billinton and W. Chenjian,
Predictive reliability assessment of distribution systems including extreme adverse weather,
Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. no.01TH8555), Vol. 2,
IEEE Press, Piscataway (2001), 719–724.