Fuzzy risk index for power transformer failures due to external short-circuits


Autoria(s): FLORES, Wilfredo C.; MOMBELLO, Enrique; Jardini, Jose Antonio; RATTA, Giuseppe
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2009

Resumo

A novel methodology to assess the risk of power transformer failures caused by external faults, such as short-circuit, taking the paper insulation condition into account, is presented. The risk index is obtained by contrasting the insulation paper condition with the probability that the transformer withstands the short-circuit current flowing along the winding during an external fault. In order to assess the risk, this probability and the value of the degree of polymerization of the insulating paper are regarded as inputs of a type-2 fuzzy logic system (T2-FLS), which computes the fuzzy risk level. A Monte Carlo simulation has been used to find the survival function of the currents flowing through the transformer winding during a single-phase or a three-phase short-circuit. The Roy Billinton Test System and a real power system have been used to test the results. (C) 2008 Elsevier B.V. All rights reserved.

Identificador

ELECTRIC POWER SYSTEMS RESEARCH, v.79, n.4, p.539-549, 2009

0378-7796

http://producao.usp.br/handle/BDPI/18171

10.1016/j.epsr.2008.06.021

http://dx.doi.org/10.1016/j.epsr.2008.06.021

Idioma(s)

eng

Publicador

ELSEVIER SCIENCE SA

Relação

Electric Power Systems Research

Direitos

restrictedAccess

Copyright ELSEVIER SCIENCE SA

Palavras-Chave #Monte Carlo methods #Neural network applications #Power transformers #Transformers #Type-2 fuzzy logic systems #Engineering, Electrical & Electronic
Tipo

article

original article

publishedVersion