Reliability analysis of power transformers of a power distribution company

Nabila Al Balushi (), S. M. Rizwan, S. Z. Taj and Waleed Al Khairi
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Nabila Al Balushi: National University of Science and Technology
S. M. Rizwan: National University of Science and Technology
S. Z. Taj: National University of Science and Technology
Waleed Al Khairi: Dhofar Power Company

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 5, No 10, 1735-1742

Abstract: Abstract This paper presents reliability analysis of power transformers in a power distribution company. Transformers play a significant role in delivering electricity efficiently to consumers. They are critical assets of electrical systems; hence their failure may lead to high cost of repair/replacement. Therefore, addressing the performability aspect of transformers through reliability analysis is an essential task for power industries, to implement effective maintenance strategies and avoid frequent failures. Five years of failure data of transformers are collected from a power distribution company. Data depicts four types of failures: minor, major, partial, and complete. Confidence intervals for the failure rates are also shown. To examine the transformers’ effectiveness, reliability model is developed by embedding real failure situations shown in the data. Model is analysed using Markovian and regenerative processes. Measures of transformers’ effectiveness such as mean time between failures, the availability index, and the expected busy period of the repairmen are estimated which defines the system operational capabilities, and to further improve the system performance, some of the recommendations have been suggested. Sensitivity analysis is performed to establish the effect of various parameters on the reliability indicators. Graphs demonstrating the trends of various reliability indicators with respect to repair/failure rate are drawn.

Keywords: Power transformer; Reliability; Failure; Availability; Repair; Markov (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13198-023-02042-8

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