Dissertação
Metodologia de detecção e classificação de faltas de alta impedância em redes de distribuição: implementação em hardware e validação por meio de simulação digital em tempo real
Fecha
2020-09-28Autor
Wontroba, Aldair
Institución
Resumen
The present work deals with the detection of high impedance faults (HIF) in Electricity
Distribution Networks. An in-depth study is carried out on this type of fault, as well as on some
important HIF detection methods. From this analysis, a HIF detection and classification method
is developed. An important feature of the proposed methodology is the fact that it is able to
identify the type of HIF, i.e., with or without a cable break, for instance. The developed
algorithm is based on harmonic components, mainly the third order. To extract information
about faults, phase and neutral currents are used. In order to carry out a comparative analysis,
the proposed algorithm and other four known methods of HIF detection were implemented in a
hardware platform developed for this purpose. All tests were performed in real time using
hardware-in-the-loop simulation through OPAL-RT simulator. In total, 774 tests were
performed for each algorithm, including two HIF models with different soil topologies and
broken cable configuration. Transformer inrush, load switching and capacitor bank cases were
also tested. The simulations of all cases were carried out through a distribution system based
on a real feeder, which has, as main characteristic, the presence of single-phase branches. The
developed methodology has presented a superior result when compared to the other methods,
showing an assertiveness of 88% in the cases of HIF.