Partial Discharges Location in Transformer Winding using Wavelets and Kullback-Leibler Divergence

GUILLEN, DANIEL; CABRAL SERGIO; MOMBELLO, ENRIQUE E.; IDARRAGA-OSPINA, GINA

ELECTRIC POWER SYSTEMS RESEARCH

ELSEVIER SCIENCE SA

Lugar: Amsterdam; Año: 2016 vol. 136 p. 398 - 405

0378-7796

tA new algorithm to partial discharges (PD) location in transformer windings by means of the discretewavelets transform (DWT) and the Kullback?Leibler (KL) divergence is presented. When the insulationsystem of transformers has considerable damage, high levels of PD appear. A PD analysis will help toprevent and to avoid catastrophic faults in the transformer insulation system, and is also useful to quan-tify the damage level into it. However, it is a complex task, because PD signals have a small magnitudeand are presented during some microseconds. In this paper, a lumped parameter model RLC is used tomodel the transformer winding and to obtain PD reference signals. The DWT is used to process thosesignals. PD location is finally estimated by means of the minimum entropy concept that minimizes theKullback?Leibler (KL) divergence between PD signals (test and reference signals). Different time dura-tions and amplitudes to the PD signals were considered. The results of computer simulation confirmthe accuracy of the proposed algorithm, with an error less than 5%. Also, the algorithm is validated in adistribution transformer winding.