Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysis
This research article investigates the performance and fault detection capabilities of 35 zig-zag transformers connected to solar power plants in the medium voltage busbar, focusing on “dissolved gas analysis” (DGA) and fault diagnostics. Despite the absence of sudden disconnections, the transformer...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025002543 |
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| author | Ricardo Manuel Arias Velásquez Renato Fabricio Arias Velásquez |
| author_facet | Ricardo Manuel Arias Velásquez Renato Fabricio Arias Velásquez |
| author_sort | Ricardo Manuel Arias Velásquez |
| collection | DOAJ |
| description | This research article investigates the performance and fault detection capabilities of 35 zig-zag transformers connected to solar power plants in the medium voltage busbar, focusing on “dissolved gas analysis” (DGA) and fault diagnostics. Despite the absence of sudden disconnections, the transformers exhibited evolving failure modes. The study details the protection mechanisms employed, including overcurrent, overvoltage, and mechanical protections, integrated with a master trip system. Revealing significant deviations from normal levels before faults. Elevated hydrogen and methane levels, along with increased acetylene concentrations, indicated severe arcing and overheating, while treated oil samples showed a notable reduction in gas concentrations, underscoring the effectiveness of oil treatment in managing thermal and electrical stresses. This paper highlights the evolution of fault modes, including partial discharges, thermal faults, and arc faults, with specific diagnostic markers for each. The analysis of transient currents during faults indicated internal short circuits, leading to substantial mechanical and thermal damage, including core misalignment and tank deformation. The efficiency increases from 85.71 % in the detection with DGA to 91.43 % based on the combined analysis for DGA, comtrade and overcurrent analysis in the complete fleet. |
| format | Article |
| id | doaj-art-b67c39bbc3f148dca74fe5146bff47d9 |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-b67c39bbc3f148dca74fe5146bff47d92025-01-28T04:14:52ZengElsevierResults in Engineering2590-12302025-03-0125104166Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysisRicardo Manuel Arias Velásquez0Renato Fabricio Arias Velásquez1Universidad Tecnológica del Perú, Peru; Corresponding author.Universidad Autónoma del Perú, PeruThis research article investigates the performance and fault detection capabilities of 35 zig-zag transformers connected to solar power plants in the medium voltage busbar, focusing on “dissolved gas analysis” (DGA) and fault diagnostics. Despite the absence of sudden disconnections, the transformers exhibited evolving failure modes. The study details the protection mechanisms employed, including overcurrent, overvoltage, and mechanical protections, integrated with a master trip system. Revealing significant deviations from normal levels before faults. Elevated hydrogen and methane levels, along with increased acetylene concentrations, indicated severe arcing and overheating, while treated oil samples showed a notable reduction in gas concentrations, underscoring the effectiveness of oil treatment in managing thermal and electrical stresses. This paper highlights the evolution of fault modes, including partial discharges, thermal faults, and arc faults, with specific diagnostic markers for each. The analysis of transient currents during faults indicated internal short circuits, leading to substantial mechanical and thermal damage, including core misalignment and tank deformation. The efficiency increases from 85.71 % in the detection with DGA to 91.43 % based on the combined analysis for DGA, comtrade and overcurrent analysis in the complete fleet.http://www.sciencedirect.com/science/article/pii/S2590123025002543DGAOilTransformerZig-zag |
| spellingShingle | Ricardo Manuel Arias Velásquez Renato Fabricio Arias Velásquez Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysis Results in Engineering DGA Oil Transformer Zig-zag |
| title | Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysis |
| title_full | Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysis |
| title_fullStr | Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysis |
| title_full_unstemmed | Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysis |
| title_short | Enhanced fault detection in zig-zag transformers: Insights from dissolved gas analysis and transient current analysis |
| title_sort | enhanced fault detection in zig zag transformers insights from dissolved gas analysis and transient current analysis |
| topic | DGA Oil Transformer Zig-zag |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025002543 |
| work_keys_str_mv | AT ricardomanuelariasvelasquez enhancedfaultdetectioninzigzagtransformersinsightsfromdissolvedgasanalysisandtransientcurrentanalysis AT renatofabricioariasvelasquez enhancedfaultdetectioninzigzagtransformersinsightsfromdissolvedgasanalysisandtransientcurrentanalysis |