New approach for partial discharge recognition on transformers on-site by means of genetic algorithms

verfasst von

D. Wenzel, H. Borsi, Ernst Gockenbach

Abstract

In this paper, the application of genetic algorithms for Partial Discharge (PD) recognition on transformers on-site is introduced. First, a short description of genetic algorithms is given. Afterwards, the separation of PD from noise signals as one of the main problems for a sensitive PD-measurement on-site is explained. It is shown, that the use of genetic algorithms for the optimization of neural networks allows a sufficient separation of PD from the pulse shaped noises. Furthermore, the use of genetic algorithms for localizing PD origins in transformers is of great promise, if reference signals are available. Here, the application of genetic algorithms is demonstrated on signals measured at the coil of a distribution transformer in laboratory. The limits of the used methods are shown by superposing synthetically generated noises to the measured pulses.

Organisationseinheit(en)

Fachgebiet Hochspannungstechnik und Asset Management (Schering-Institut)

Typ

Konferenzaufsatz in Fachzeitschrift

Journal

Conference Record of IEEE International Symposium on Electrical Insulation

Band

1

Seiten

57-60

Anzahl der Seiten

4

ISSN

0164-2006

Publikationsdatum

1996

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Elektrotechnik und Elektronik, Bauwesen