Impact of Load Ramping on Power Transformer Dissolved Gas Analysis
Dissolved gas in oil analysis (DGA) is one of the most reliable condition monitoring techniques, which is currently used by the industry to detect incipient faults within the power transformers. While the technique is well matured since the development of various offline and online measurement techn...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/84247 |
| _version_ | 1848764634714079232 |
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| author | Cui, H. Liuqing, Yang Shengtao, Li Guanghao, Qu Hao, Wang Abu-Siada, Ahmed Islam, Syed |
| author_facet | Cui, H. Liuqing, Yang Shengtao, Li Guanghao, Qu Hao, Wang Abu-Siada, Ahmed Islam, Syed |
| author_sort | Cui, H. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Dissolved gas in oil analysis (DGA) is one of the most reliable condition monitoring techniques, which is currently used by the industry to detect incipient faults within the power transformers. While the technique is well matured since the development of various offline and online measurement techniques along with various interpretation methods, no much attention was given so far to the oil sampling time and its correlation with the transformer loading. A power transformer loading is subject to continuous daily and seasonal variations, which is expected to increase with the increased penetration level of renewable energy sources of intermittent characteristics, such as photovoltaic (PV) and wind energy into the current electricity grids. Generating unit transformers also undergoes similar loading variations to follow the demand, particularly in the new electricity market. As such, the insulation system within the power transformers is expected to exhibit operating temperature variations due to the continuous ramping up and down of the generation and load. If the oil is sampled for the DGA measurement during such ramping cycles, results will not be accurate, and a fault may be reported due to a gas evolution resulting from such temporarily loading variation. This paper is aimed at correlating the generation and load ramping with the DGA measurements through extensive experimental analyses. The results reveal a strong correlation between the sampling time and the generation/load ramping. The experimental results show the effect of load variations on the gas generation and demonstrate the vulnerabilities of misinterpretation of transformer faults resulting from temporary gas evolution. To achieve accurate DGA, transformer loading profile during oil sampling for the DGA measurement should be available. Based on the initial investigation in this paper, the more accurate DGA results can be achieved after a ramping down cycle of the load. This sampling time could be defined as an optimum oil sampling time for transformer DGA. |
| first_indexed | 2025-11-14T11:22:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-84247 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:22:29Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-842472021-07-13T06:27:48Z Impact of Load Ramping on Power Transformer Dissolved Gas Analysis Cui, H. Liuqing, Yang Shengtao, Li Guanghao, Qu Hao, Wang Abu-Siada, Ahmed Islam, Syed Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Dissolved gas analysis insulation oil load ramping power transformer TEMPERATURE ADDITIVES FAULTS Dissolved gas in oil analysis (DGA) is one of the most reliable condition monitoring techniques, which is currently used by the industry to detect incipient faults within the power transformers. While the technique is well matured since the development of various offline and online measurement techniques along with various interpretation methods, no much attention was given so far to the oil sampling time and its correlation with the transformer loading. A power transformer loading is subject to continuous daily and seasonal variations, which is expected to increase with the increased penetration level of renewable energy sources of intermittent characteristics, such as photovoltaic (PV) and wind energy into the current electricity grids. Generating unit transformers also undergoes similar loading variations to follow the demand, particularly in the new electricity market. As such, the insulation system within the power transformers is expected to exhibit operating temperature variations due to the continuous ramping up and down of the generation and load. If the oil is sampled for the DGA measurement during such ramping cycles, results will not be accurate, and a fault may be reported due to a gas evolution resulting from such temporarily loading variation. This paper is aimed at correlating the generation and load ramping with the DGA measurements through extensive experimental analyses. The results reveal a strong correlation between the sampling time and the generation/load ramping. The experimental results show the effect of load variations on the gas generation and demonstrate the vulnerabilities of misinterpretation of transformer faults resulting from temporary gas evolution. To achieve accurate DGA, transformer loading profile during oil sampling for the DGA measurement should be available. Based on the initial investigation in this paper, the more accurate DGA results can be achieved after a ramping down cycle of the load. This sampling time could be defined as an optimum oil sampling time for transformer DGA. 2019 Journal Article http://hdl.handle.net/20.500.11937/84247 10.1109/ACCESS.2019.2926435 English http://creativecommons.org/licenses/by/4.0/ IEEE fulltext |
| spellingShingle | Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Dissolved gas analysis insulation oil load ramping power transformer TEMPERATURE ADDITIVES FAULTS Cui, H. Liuqing, Yang Shengtao, Li Guanghao, Qu Hao, Wang Abu-Siada, Ahmed Islam, Syed Impact of Load Ramping on Power Transformer Dissolved Gas Analysis |
| title | Impact of Load Ramping on Power Transformer Dissolved Gas Analysis |
| title_full | Impact of Load Ramping on Power Transformer Dissolved Gas Analysis |
| title_fullStr | Impact of Load Ramping on Power Transformer Dissolved Gas Analysis |
| title_full_unstemmed | Impact of Load Ramping on Power Transformer Dissolved Gas Analysis |
| title_short | Impact of Load Ramping on Power Transformer Dissolved Gas Analysis |
| title_sort | impact of load ramping on power transformer dissolved gas analysis |
| topic | Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Dissolved gas analysis insulation oil load ramping power transformer TEMPERATURE ADDITIVES FAULTS |
| url | http://hdl.handle.net/20.500.11937/84247 |