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Failure Analysis of Distribution Transformer and Proposing Proper Solution to Mitigate the Faults -A Case Study of Kombolcha City Dessie District Ethiopian Electric Utility, Ethiopia

The distribution transformer plays an important role in the distribution of electric energy to the customers. The reliability of DT does not only affect availability of the electric power to the customers of utility, but also economical operation of a utility. They can operate up to 30 years; but they fail within a year, due to many reasons resulting big economic and service lose on the power supplying utilities as well as the power customers. This paper has exposed the root causes of failure of the distribution transformer in EEU Dessie district Kombolcha NO. 1 and No. 2-customer service centers by using data collected from the substation, EEU, and inspecting the status of some transformers at peak hours. From the analysis conducted it was observed that the most frequently occurring causes of failure of distribution transformers in the centers were overloading, uneven power overloading, external short circuit, and lightning. In addition to identifying the causes, the researchers have proposed some remedial solutions to reduce the problems.
- Kombolcha Institute of Technology Ethiopia
- Vel Tech Dr. RR & Dr. SR Technical University India
- Wollo University Ethiopia
- Kombolcha Institute of Technology Ethiopia
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
