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Article . 2025 . Peer-reviewed
License: CC BY
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Analysis of GT 2.1 Transformer Oil Testing using the Dissolved Gas Analysis (DGA) Method at PT PLN Nusantara Power

Authors: Amsal Aritonang; Soni Prayogi;

Analysis of GT 2.1 Transformer Oil Testing using the Dissolved Gas Analysis (DGA) Method at PT PLN Nusantara Power

Abstract

This study analyzes transformer oil from the GT 2.1 transformer at PT PLN Nusantara Power using the Dissolved Gas Analysis (DGA) method. Transformers are crucial for power systems, and their performance relies on the condition of their oil, which acts as both an insulator and a coolant. The DGA method detects gases like hydrogen, methane, ethylene, ethane, and acetylene in the oil, which indicate electrical or thermal faults. Oil samples were analyzed using diagnostic techniques such as the Rogers ratio, Duval triangle, and IEC standards to assess potential faults. The results revealed faults like thermal overheating and electrical discharges, offering valuable insights into the transformer’s health. The study highlights the importance of routine oil testing and DGA for predictive maintenance, enabling early fault detection. This proactive approach helps prevent failures, reduces outages, and extends transformer lifespan, ultimately enhancing the reliability and efficiency of power delivery at PT PLN Nusantara Power. The findings support the integration of advanced diagnostic methods in maintaining critical electrical infrastructure.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold