Portal de Periódicos da CAPES

Artigo Produção Nacional Revisado por pares

BIBTEX RIS

High impedance fault detection based on linear prediction

2020; Elsevier BV; Volume: 190; Linguagem: Inglês

10.1016/j.epsr.2020.106846

1873-2046

Reginaldo Barnabé Gonzalez Grimaldi, Talita Santos Alves Chagas, Jugurta Montalvão, Núbia Silva Dantas Brito, W. C. Santos, Tarso Vilela Ferreira,

Electrical Fault Detection and Protection

In many situations, conductor rupture in distribution systems or even its contact with structures external to the systems (such as trees) does not sensitize protection systems. This type of occurrence and its variations are typically called high impedance faults. The present work proposes a method for detection of high impedance faults based on linear prediction. Concerning validation of the method, a database was created through simulations performed in the Alternative Transients Program, based on a real energy distribution system. In addition to high impedance faults, load energization and capacitor bank switching situations were also simulated in order to test the robustness of the method against probable false positives. From obtained results, a decision criterion was developed aiming at the detection of high impedance faults based on the linear predictor of current signals through time, which obtained success rates above 80 % for real data.