Abstract
The immersed-oil power transformer is so vital equipment in power system that maintenance-engineers take more monitor from transformer’s insulating oil to diagnose what is condition of operation. Then the dissolved gas analysis (DGA) is known for an effective technique on detecting incipient faults in oil-immersed power transformers. In this paper, a practical method is presented which consists of the Roger & Dernenber Ratio Methods, the Linear SVM diagnosis, the Key Gas method and the Specification ANSI/IEEE C57.104 Standard. Thus, incipient faults in power immersed-oil transformers can be directly identified by a report’s form which is so easy understood that we can accurate of diagnosis transformer. The user only keys in the measured data of main gases such as H2, CH4, C2H2, C2H4, C2H6, and CO those gases were must decompose via ASTM-D3612. The diagnosis result was showed in texts. This paper was taken some data from Taiwan and Siemens Power Company to verify the program that was validation and accuracy of the transformer’s insulating oil diagnosis tool.
Highlights
Immersed-oil power transformer’s insulating oil, to strengthen insulation and cut temperature of operation down of transformer for ability of supply
The Hybrid diagnosis approach was validated and confirmed so easy and analysis to use at any condition of transformer insulating oil
It is developed to obtain an insulating oil diagnostic method by Support Vector Machine theory which was called “The Linear SVM (Support Vector Machine) diagnostic method”, the method will take H2, CH4, C2H6, C2H4, C2H2, and Carbon Monoxide (CO) of the component data that involve into the formula with the value of the coefficient (Z) to calculated and diagnose inside the condition of transformer, the coefficients of the formula shown in Table 3 [2]
Summary
Immersed-oil power transformer’s insulating oil, to strengthen insulation and cut temperature of operation down of transformer for ability of supply. Lin such as Ethane (C2H6), Hydrogen (H2), Methane (CH4), Carbon Dioxide (CO2), Ethylene (C2H4), Acetylene (C2H2), Carbon Monoxide (CO), Nitrogen (N2), and Oxygen (O2) and so on Those gases Hydrogen (H2), Methane (CH4), Ethane (C2H6), Ethylene (C2H4), Acetylene (C2H2), and Carbon Monoxide (CO) are named Total Combustible Gas (TCG) [1]. The dissolved gas analysis (DGA) is a common effective technique on detecting incipient faults in oil-immersed power transformers. The present work investigated the DGA methods and employed the ANSI/IEEE C57.104 Standard Rule, the Linear SVM Method, the Roger & Doernenber Ratios, and the Key Gas Method to develop a fast immersed-oil power transformer diagnosis approach which was named “a hybrid diagnosis approach”. The Hybrid diagnosis approach was validated and confirmed so easy and analysis to use at any condition of transformer insulating oil. The approach is proved from a lot of causes which is efficiency and accuracy
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