The Characterization Analysis of the Oil-Immersed Transformers Obtained by Area Elimination Method Design

Journal article


Authors/Editors


Strategic Research Themes


Publication Details

Author listNuttee Thungsuk, Narong Mungkung, Thaweesak Tanaram, Arckarakit Chaithanakulwat, Somchai Arunrungsusmi, Wittawat Poonthong, Apidat Songruk, Khanchai Tunlasakun, Chalathip Chunkul, Tanes Tanitteerapan, Toshifumi Yuji and Hiroyuki Kinoshita

PublisherMDPI

Publication year2022

Volume number12

Issue number8

Start page1

End page18

Number of pages18

ISSN2076-3417

eISSN2076-3417

URLhttps://www.mdpi.com/2076-3417/12/8/3970

LanguagesEnglish-United States (EN-US)


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Abstract

This study used the Area Elimination Method (AEM) of transformer design with transformer
characteristic simulation. The multidimensional variable of physical parameters such as
magnetic density, current density, voltage and coil turn was performed. This method was used in
designing the 8000 kVA 22,000–3300/1905 V oil-type large distribution transformer. The result from a
design found that the objective function tries to reduce the material to be used, and less core steel,
fewer conductors, less transformer oil or fewer transformer tanks may cause an increasing load loss or
increasing temperature rise, but we have calculated the temperature in the winding and design the
radiator fins at the same time. After designing the transformer with AEM and it is manufactured
in the production process, the transformer was tested according to IEC standards. It was confirmed
that the power loss tests with no load yielded lower power loss than the standard value. In addition,
the transformer passed the satisfaction test and the results of this design were built and tested with
IEC 60076 standards. The information from the design using the Area Elimination Method could
be a guarantee of standardized accuracy for oil distribution transformers. This also saves time and
increases design efficiency for transformer designers.


Keywords

area elimination techniquecharacterization analysisefficiencyoil-immersed transformers


Last updated on 2023-17-10 at 07:37