DISSOLVED GAS ANALYSIS OF MINERAL OIL FOR POWER TRANSFORMER FAULT DIAGNOSIS USING SOFT COMPUTING TECHNIQUES

Abstract: This paper reviews the use of Soft Computing Techniques for dissolved gas analysis (DGA) of mineral oil for power transformer fault diagnosis (PTFD). Various FLtechniques for PTFD have been developed to reduce operating costs, enhance operational reliability, and improve power and services supplied to customers. These techniques enable researchers to analyse fault phenomena and diagnose transformer faults, and these approaches have evolved rapidly as highly effective approaches for PTFD. Our conclusion is that no single DGA technique enables detection of the full range of faults, which is needed for reliable assessment of all power transformer conditions. Therefore, the most effective PTFD technique is to combine outputs from various DGA diagnostic methods and to aggregate them into an overall evaluation.