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dc.contributor.authorCui, H.
dc.contributor.authorLiuqing, Yang
dc.contributor.authorShengtao, Li
dc.contributor.authorGuanghao, Qu
dc.contributor.authorHao, Wang
dc.contributor.authorAbu-Siada, Ahmed
dc.contributor.authorIslam, Syed
dc.identifier.citationCui, H. and Liuqing, Y. and Shengtao, L. and Guanghao, Q. and Hao, W. and Abu-Siada, A. and Islam, S. 2019. Impact of Load Ramping on Power Transformer Dissolved Gas Analysis. IEEE Access. 7: pp. 170343-170351.

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.

dc.subjectScience & Technology
dc.subjectComputer Science, Information Systems
dc.subjectEngineering, Electrical & Electronic
dc.subjectComputer Science
dc.subjectDissolved gas analysis
dc.subjectinsulation oil
dc.subjectload ramping
dc.subjectpower transformer
dc.titleImpact of Load Ramping on Power Transformer Dissolved Gas Analysis
dc.typeJournal Article
dcterms.source.titleIEEE Access
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidAbu-Siada, Ahmed [0000-0002-2094-3036] [0000-0002-8560-3403]
curtin.contributor.researcheridAbu-Siada, Ahmed [K-3809-2013] [O-7116-2019]
curtin.contributor.scopusauthoridAbu-Siada, Ahmed [24780681200]
curtin.contributor.scopusauthoridIslam, Syed [55432804800]

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