Open AccessReliability and Maintenance of Assets in Electric Power Distribution Network
Author(s) -
E. A. Olajuyin,
Olubakinde Eniola
Publication year - 2022
Publication title -
current journal of applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2457-1024
DOI - 10.9734/cjast/2022/v41i931686
Subject(s) - reliability engineering , mean time between failures , failure rate , reliability (semiconductor) , engineering , circuit breaker , chart , transformer , busbar , electric power system , electric power distribution , electricity , electrical engineering , power (physics) , statistics , voltage , mathematics , physics , quantum mechanics
Regular and stable supply of power to the consumers is very essential in the power system since reliability is one of the yardsticks that can be used to measure the performance of a service provider and reliability is ability of the system to function satisfactorily under stated condition at a particular period of time. Reliability and maintenance of assets in electric power distribution network was investigated using statistical analysis of outages data. Five years outages data caused by cables, transformers, breakers, line conductors and busbars & isolators were collected from Abule-Egba 33/11kV Injection substation in Ikeja Electricity Distribution Company, Lagos state and each year obtained data was represented in chart and also the comparison of the failures of different components within the observed years were represented in chart. Failure rate (λ), reliability ( ) and Mean Time between Failures (MTBF) were calculated and the obtained results were typified by chart. From the calculations and the data obtained from the station, it was observed that transformers had the lowest reliability(46.61%) and cables had the highest reliability (82.95%).Engaging in preventive maintenance and predictive maintenance could enhance reliability of the system and this practice will in turn prevent or minimize failure rate of transformers and other devices.