Fuzzy risk index for power transformer failures due to external short-circuits
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
18/10/2012
18/10/2012
2009
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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 |
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 |