Weibull distribution-based analysis for reliability assessment of an isolated power micro-grid system

Amuta, Elizabeth and Wara, S.T. and Agbetuyi, Ayoade F. and Sawyerr, B.A. (2022) Weibull distribution-based analysis for reliability assessment of an isolated power micro-grid system. In: Materials today: Proceedings, 23 June 2022, Online.

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Abstract

This study investigates Weibull Distribution-based Analysis for reliability assessment of an isolated power Micro-grid system. The Mean Time to Repair (MTTR) reliability indices were calculated using the outage data obtained from the micro-grid site between 2015 and 2019. The Weibull probability function is widely used in reliability analysis; in this method, the shape and scale parameters were calculated using the Maximum likelihood Estimator (MLE). MLE technique was deployed to check the problem of the MTTR data analysis from data collected to estimate the Weibull study. The research involved the percentage, cumulative percentage, density, cumulative probability, survival probability, and hazard probability. The scale parameter, which was observed as 0.625195, equally represents the mean failure time of 0.99728, which influenced the overall reliability performance of the micro-grid power system.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Patricia Nwokealisi
Date Deposited:	15 Nov 2024 11:44
Last Modified:	15 Nov 2024 11:44
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/18598

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