A soft computing scheme incorporating ANN and MOV energy in fault detection, classification and distance estimation of EHV transmission line with FSC

In this article, a novel and accurate scheme for fault detection, classification and fault distance estimation for a fixed series compensated transmission line is proposed. The proposed scheme is based on artificial neural network (ANN) and metal oxide varistor (MOV) energy, employing Levenberg–Marq...

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Detalles Bibliográficos
Autores principales: Khadke, Piyush, Patne, Nita, Singh, Arvind, Shinde, Gulab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074945/
https://www.ncbi.nlm.nih.gov/pubmed/27818872
http://dx.doi.org/10.1186/s40064-016-3533-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074945/
https://www.ncbi.nlm.nih.gov/pubmed/27818872
http://dx.doi.org/10.1186/s40064-016-3533-2

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