Studies by various authors have shown that the IEEE Transformer Loading Guide model and the modified equations, proposed by the K3 Working Group of the IEEE Power System Relaying Committee, are lacking in accuracy in the prediction of the maximum winding hot-spot temperature of a power transformer in the presence of overload conditions. The result is a real winding hot-spot temperature greater than the predicted one. A novel technique to predict the maximum winding hot-spot temperature of a power transformer in the presence of overload conditions is presented. The proposed method is based on a radial basis function network (RBFN) which, taking in to account the load current, the top oil temperature rise over the ambient temperature and other meteorological parameters, permits recognition of the hot-spot temperature pattern. Data obtained from experimental tests allows the RBFN-based algorithm to be tested to evaluate the performance of the proposed method in terms of accuracy

Neural diagnostic system for transformer thermal overload protection

GALDI, Vincenzo;IPPOLITO, Lucio;PICCOLO, Antonio;VACCARO, Alfredo
2000

Abstract

Studies by various authors have shown that the IEEE Transformer Loading Guide model and the modified equations, proposed by the K3 Working Group of the IEEE Power System Relaying Committee, are lacking in accuracy in the prediction of the maximum winding hot-spot temperature of a power transformer in the presence of overload conditions. The result is a real winding hot-spot temperature greater than the predicted one. A novel technique to predict the maximum winding hot-spot temperature of a power transformer in the presence of overload conditions is presented. The proposed method is based on a radial basis function network (RBFN) which, taking in to account the load current, the top oil temperature rise over the ambient temperature and other meteorological parameters, permits recognition of the hot-spot temperature pattern. Data obtained from experimental tests allows the RBFN-based algorithm to be tested to evaluate the performance of the proposed method in terms of accuracy
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4109253
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 52
  • ???jsp.display-item.citation.isi??? 37
social impact