New approach for accurate discrimination and location of power transformers with different internal winding faults.

ABSTRACT: Power transformers are essential elements in power systems and thus their protection schemes have critical importance. In this paper, a scheme is proposed for accurate discrimination and location of internal faults in power transformers using conventional measuring devices attached to the transformer. Different types of internal winding faults are intensely considered: partial discharge, inter-disk faults, series and shunt short circuit faults and axial displacement. Depending on the transformer measured output voltage, input voltage and the input current, the construction of a locus diagram (ΔV-Iin) serves as an indicator for any physical modification to the winding. Using five suggested features extracted from the developed locus, an artificial neural network (ANN) technique is applied t

SUBMITTER: Youssef M 

PROVIDER: S-EPMC11469500 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature