Different Types of Winding Fault Analysis in Power Transformers

The power transformer is an essential piece of equipment for the effective transmission of electrical energy in transmission and distribution networks. Therefore, transformer failure is an importantissue for the electrical industry sector. Transformer failure may occur for various reasons. Heavy usage and ageing are common factors that lead to transformer malfunction and may account for major maintenance costs. An appropriate monitoring method must therefore be implementedin the system to improve network reliability and avoid further maintenance costs. In this paper is proposed a new approach for detecting and distinguishing internal faults within power transformers by using a locus characteristic algorithm. This locus of a transformer couldbe formed by plotting the differential voltage input and output against input current on the source side. This locus would be represented in an image which could then be analyzed using the image processing toolbox from MATLAB developed software. Importantly, this new technique usesan online monitoring, detection method which could monitor the transformer’s condition while it is operating. This technique is an online monitoring, testing method that improves upon the current out-dated, offline testing methods such as the Frequency Response Analysis (FRA) and other uncommon online testing methods.The Frequency Response and Polar Coordinate methods will also be discussed in comparison with both MATLAB and power system simulation (PSIM) techniques.