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

Authors :
Nuttee Thungsuk
Narong Mungkung
Thaweesak Tanaram
Arckarakit Chaithanakulwat
Somchai Arunrungsusmi
Wittawat Poonthong
Apidat Songruk
Khanchai Tunlasakun
Chalathip Chunkul
Tanes Tanitteerapan
Toshifumi Yuji
Hiroyuki Kinoshita
Source :
Applied Sciences, Vol 12, Iss 8, p 3970 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

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, less conductors, less transformer oil or less 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 being 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.

Details

Language :
English
ISSN :
20763417
Volume :
12
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.369ff58fe57141f59b3eea73403dfe82
Document Type :
article
Full Text :
https://doi.org/10.3390/app12083970