The Interpretation Of Dissolved Gas Analysis (DGA) Using Fuzzy Logic

Kaodawaton, Abd Malik (2013) The Interpretation Of Dissolved Gas Analysis (DGA) Using Fuzzy Logic. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This project is to design a robust and reliable intelligent diagnostic method to detect and predict incipient faults in transformer. Transformer is one of the most components in the power system network. Major fault in these transformers can cause extensive damage which is not only disturbing other features electricity supply, instead causing huge losses. In the transformer, insulation material and faulty equipment will result in the release of gas; hence can be attributed to some kind of electrical fault such as corona, pyrolysis, and arc. The resulting gas generation rate can indicate the severity of the offense and the information obtained can be very beneficial in any preventive maintenance program. By using any of the preventive maintenance programs, the identity of gas is very useful to determine that faults. The key gas considerations for evaluation are hydrogen (H2), methane (CH4), ethane (C2H6), ethylene (C2H4), and acetylene (C2H2). Thus, interpretation of dissolved gas analysis (DGA) is used as the preventive maintenance program to detect the incipient faults. To study on DGA related to incipient fault inside power transformer, Rogers Ratio methods of DGA will be introduced. Rogers‟s ratio will be reviewed before it is applied in the system. In order to automate this program, the technique of MATLAB software using the technique of fuzzy logic is developed in this study. Fuzzy logic is selected because of its ability in storing knowledge and of their functions to make decision. Fuzzy logic control system mainly consists of four major elements, which are a fuzzification unit, a fuzzy inference engine, fuzzy knowledge base and a defuzzification unit. Network all of four elements can be action to make decision based on the knowledge of the decision-maker in fuzzy decision support system. The results between DGA testing method and fuzzy decision will be analyzed to investigate the process of analyzing the oil test result henceforward to record retrieving and record keeping of large volume of transformer information as references for others researchers.

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