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Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system
This paper proposes an approach to accurately estimate the impedance value of a high impedance fault (HIF) and the distance from its fault location for a distribution system. Based on the three-phase voltage and current waveforms which are monitored through a single measurement in the network, sever...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991958/ https://www.ncbi.nlm.nih.gov/pubmed/31999711 http://dx.doi.org/10.1371/journal.pone.0227494 |