PREVENTIVE TREATMENT FOR POWER TRANSFORMER BY ANALYSIS OF DISSOLVED GAS AND USING FUZZY LOGIC

Dr. Sahar Al-Sakini

doi:10.30572/2018/KJE/160319

Authors

Dr. Sahar Al-Sakini Electromechanical Engineering Department, University of Technology-Iraq, Baghdad, Iraq https://orcid.org/0000-0001-7543-9892

DOI:

https://doi.org/10.30572/2018/KJE/160319

Keywords:

Dissolve gas analysis , Faults diagnosis , transformer, Fuzzy Logic

Abstract

Transformer is one of the major and most important high-cost components of electrical power systems, so it is necessary to prolong their life span , reduce downtime and maintenance. There are many types of electrical and chemical diagnostic methods for monitoring insulation conditions for the transformer, like Doerneburg’s and Roger’s revised IEC-599r methods. This study introduces fuzzy logic, which handles vague, imprecise, and uncertain fault diagnoses for transformers. This work applies fuzzy logic for three methods: Doerneburg’s, IEC 599r, and proposed methods by using MATLAB to measure the dissolved gas in the mineral oil of transformers to explain if the transformer is faulty or NOR., and when the transformer is faulty, what must be done for accumulation of gases. The results explain that the correct diagnosis for the three methods: Doernenburg’s, IEC-599r, and the proposed method is 12%, 76%, and 92%, and the certainty is 83.3%, 90.3%, and 89.1%, respectively

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