Paper Information

Title: 

TRANSFORMER FAULT DIAGNOSIS USING FUZZY LOGIC INTERPRETATIONS

Type: PAPER
Author(s): RAHIMZADEH KHOSHROU ARASH*
 
 *AZAD UNIVERSITY, TEHRAN, JONOOB, I.R IRAN
 
Name of Seminar: INTERNATIONAL POWER SYSTEM CONFRENCE
Type of Seminar:  CONFERENCE
Sponsor:  SHERKATE TAVANIR
Date:  2004Volume 19
 
 
Abstract: 

THE POWER TRANSFORMER IS ONE OF THE MAIN COMPONENTS IN A POWER TRANSMISSION NETWORK. MAJOR FAULTS IN THESE TRANSFORMERS CAN CAUSE EXTENSIVE DAMAGE, WHICH DO NOT ONLY INTERRUPT ELECTRICITY SUPPLY BUT ALSO RESULT IN LARGE REVENUE LOSSES. DUE TO THE LARGE NUMBER OF TRANSFORMERS OF DIFFERENT MAKES AND CAPACITIES, ROUTINE MAINTENANCE AND DIAGNOSIS OF SUCH TRANSFORMERS, EVEN USING FOREIGN CONSULTANTS, ARE RATHER DIFFICULT AS DIFFERENT TRANSFORMERS EXHIBIT DIFFERENT CHARACTERISTICS AND PROBLEMS.
MOREOVER, DIFFERENT CLIMATIC AND OPERATING CONDITIONS MAY NOT BE ABLE TO DRAW THE CORRECT CONCLUSION TO SOME PROBLEMS. TO HELP IN OVERCOMING SUCH PROBLEMS, A SOFTWARE IS CURRENTLY BEING DEVELOPED CALLED “TOGA 5.5” FOR THE INTERPRETATION OF THE DISSOLVED GAS ANALYSIS (DGA) PERFORMED ON THE TRANSFORMERS USING THE TECHNIQUE OF FUZZY LOGIC. THE FIRST PHASE OF THE PROJECT WHICH ALSO CONSISTS OF A FUZZY LOGIC INTERPRETATION MODULE CAN BE USED FOR INTERPRETING MOST OF THE DGA TEST RESULTS HAS ALREADY BEEN COMPLETED AND IS DISCUSSED IN THIS PAPER. THE NEXT PHASE OF THE PROJECT WOULD INVOLVE UTILIZING OTHER ARTIFICIAL INTELLIGENT TECHNIQUES SUCH AS NEURAL NETWORKS AND OTHER ALGORITHMS TO AUTOMATICALLY GENERATE RULES FROM TRENDS FOUND IN THE DATABASE.

 
Keyword(s): GC, TOGA 5.5 SOFTWARE, FUZZY LOGIC INTERPRETATIONS
 
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