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

被引:30
作者
Flores, Wilfredo C.
Mombello, Enrique [1 ]
Jardini, Jose A. [2 ]
Ratta, Giuseppe
机构
[1] Natl Univ San Juan, Inst Energia Elect, CONICET, San Juan, Argentina
[2] Univ Sao Paulo, Dept Engn Energy & Elect Automat, BR-05508 Sao Paulo, Brazil
关键词
Monte Carlo methods; Neural network applications; Power transformers; Transformers; Type-2 fuzzy logic systems;
D O I
10.1016/j.epsr.2008.06.021
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:539 / 549
页数:11
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