Browsing by Author "Ahmed M. O."

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    Reliability Assessment of 33KV Feeder, (A Case Study of Transmission Company of Nigeria, Ganmo Work Centre.)
    (World Journal of Innovative Research (WJIR), 2019-10-20) Balogun M. O.; Ahmed M. O.; Ajani A. A.; Olaoye H.
    According to statistics, about 80% of the power interruptions result from power distribution system failure. Historical assessment and predictive methods are normally used to evaluate the reliability of a distribution network. Most utilities focus more on historical assessment rather than predictive methods. Hence, it is vital in design and development of distribution network to study and analyse the reliability. This research adopted methods involving analysis and evaluation of reliability of one of the Nigeria transmission station (Ganmo 33KV Ilorin) feeders to see how reliability could be improved in the distribution system by incorporating reliability analysis in the systematic planning approach so that optimum reliability is achieved. Analytical method such as Markov model and reliability indices of each feeder was evaluated, assessed and compared to see how risk of failure could be reduced. The reliability indices for the year 2016 and 2017 are being considered as the case study. The outages on the TCN Ganmo 33KV feeders was studied for 24 months on daily outage data collected from the station. Based on the result obtained from the data analysis illustrated with graphs, it was deduced that dedicated feeders such as KAM and UNILORIN have the highest reliability and more available compared to others residential feeders. This can be attributed to the level of their load demands. Generally, the feeders have least reliability during the period of May to October due to high vegetation and rainfall.