@article{MAKHILLIJEPE202115425341,
    title = {Distribution Transformer Loss Reduction using Brute Force Search Algorithm},
    journal = {International Journal of Electrical and Power Engineering},
    volume = {15},
    number = {4},
    pages = {34-42},
    year = {2021},
    issn = {1990-7958},
    doi = {ijepe.2021.34.42},
    url = {https://makhillpublications.co/view-article.php?issn=1990-7958&doi=ijepe.2021.34.42},
    author = {Mustefa,Nurye and},
    keywords = {Brute force search algorithm,distribution transformer,losses,optimal design},
    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.}
    }