Department of Electrical Electronic Engineering, Faculty of Engineering, Nigerian Defence Academy, Kaduna, 800281, Nigeria.
International Journal of Science and Research Archive, 2025, 15(01), 1217-1232
Article DOI: 10.30574/ijsra.2025.15.1.1071
Received on 10 March 2025; revised on 16 April 2025; accepted on 18 April 2025
The transmission of electrical energy is one of the most significant infrastructural undertakings. Traditional manual routing methods are still widely used in the sector despite its rapid expansion and high project costs. These methods are inefficient, expensive and time-consuming when compared to more current reliability evaluation techniques. The results of the findings revealed that the least amount of power outage for planned and unplanned as 95.4 and 14.2 hours was recorded in 2022 as indicated from the data sheet. In 2022, the highest recorded operational hours (298.99 hours) were achieved with a low failure rate (171.45 hours) and a high repair rate (8.15 hours). The average LOEE and LOLE recorded are 498.29 and 499.113 MW and 562.25 and 844.90 Mw/year for the year 2022 and 2023. The most reliability findings came from 2022, with MTTF, MTTR, and MBTF values of 101.67, 87.62, and 24. 23. Also, Bus load A (100 MW) had the best operating reliability (0.98), according to the Roy Billinton Test 6 Bus System Performance Assessment. The RBTS bus's simulation results showed an average EENS of 37.96 MW, with a matching system reliability of 90.54% respectively.
Markov; Reliability; Availability; Power Transmission Network; Mando-Shiroro
Preview Article PDF
Abel Airoboman, Adunola Fatai Olatunde and Muhammad Mamman Biu. Markov model-based reliability and availability analysis: A case study of mando-Shiroro 330kV power transmission network. International Journal of Science and Research Archive, 2025, 15(01), 1217-1232. Article DOI: https://doi.org/10.30574/ijsra.2025.15.1.1071.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







