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International Journal of Electrical and Power Engineering

ISSN: Online 1993-6001
ISSN: Print 1990-7958
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Distribution Transformer Loss Reduction using Brute Force Search Algorithm

Mustefa Jibril, Nurye Hassen and Mesay Tadesse
Page: 34-42 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

Losses in distribution transformers are estimated as 30% of overall transmission and distribution losses. It is further estimated that the losses in all of the world’s electrical distribution systems are about 1715 TWh. One-third of these losses are emitted by the distribution transformers. In this paper, a mathematical model is done and a new objective function that minimizes losses in a distribution transformer is used. This study presents a loss-reduced optimal design of three phases, 315 kVA, 15/0.4 kV, 50 Hz, oil-immersed, core type distribution transformer. A Brute force search algorithm is written on Java Netbeans IDE 8.0.2 to obtain an optimum design of a distribution transformer that has minimum losses which met the requirements and constraints. The loss of a distribution transformer designed using the Brute force search algorithm is compared with transformer manufacturer’s used design based on analytical method. The results from the optimization algorithm show that the design reduces the total losses on the existing distribution transformer selected for the study from 4,030-2,687.56 W by 1,342.44 W, thus, representing a percentage reduction of 33.31%. If this saving is applied to the existing 48, 315 kVA distribution transformers of the Jimma town route of the case study area, the saving will be 64,437.12 W. If the optimally designed transformer is to be implemented on a larger scale across the electrical distribution networks of Ethiopia, the magnitude of savings would be huge.


How to cite this article:

Mustefa Jibril, Nurye Hassen and Mesay Tadesse. Distribution Transformer Loss Reduction using Brute Force Search Algorithm.
DOI: https://doi.org/10.36478/ijepe.2021.34.42
URL: https://www.makhillpublications.co/view-article/1990-7958/ijepe.2021.34.42