Transformer Health Monitoring Using Dissolved Gas Analysis

• DOI: 10.36001/ijphm.2022.v13i2.3141
• Publication Date: 2022-08-11T11:28:58Z
• Authors: Cody Walker; Ahmad Al Rashdan; Vivek Agarwal
• Keywords: Dissolved Gas Analysis

As integral components of any power plant, transformers sup-ply the generated electricity to grid. However, trans-former’s cellulose-based paper insulation and mineral oilin which it is immersed break down over time under stan-dard operating conditions—or more rapidly due potentialfaults within system. This technical brief exhibits a col-lection diagnostic prognostic techniques that utilitiescan adopted in lieu labor-intense periodic preventive main-tenance routines. Furthermore, models have beenincorporated using latest version Institute Elec-trical Electronics Engineers (IEEE) standard (IEEE StdC57.104TM-2019) for dissolved gas analysis (DGA), thusexpanding include estimation maintenance.Overall, four different methodologies are explained, each ofwhich aid determining transformer’s state health. Thesemethodologies Chendong model, IEEE C57.91-2011 thermal life consumption model forDGA, DGA uses an autore-gressive integrated moving average (ARIMA) model. An ad-ditional improvement estimating missing system parame-ters from monitoring data (i.e., tool parameter estimationutilizing Powell’s method) presented, enabling IEEEthermal benefit not only col-laborating but also industry at large.