Summary:
This paper presents a new methodology for monitoring, in real-time, the conditions of the insulation of an power transmission line, detecting and locating anomalies in its operation, before the supply of power is interrupted, thus allowing for preventive maintenance. This method uses the harmonic decomposition of the leakage current to analyze the condition of line insulation and employs a neural network to locate the fault. Experimental measurements were obtained to validate the simulated results.
Keywords: Fault location, harmonic decomposition, leakage current, transmission line, artificial neural networks
JCR Impact Factor and WoS quartile: 3,432 - Q1 (2012); 5,000 - Q1 (2023)
DOI reference:
https://doi.org/10.1016/j.ijepes.2012.04.057
Published on paper: November 2012.
Published on-line: June 2012.
Citation:
P. Renatha N. da Silva, M.M.L.C. Negrão, P. Vieira Junior, M.A. Sanz-Bobi, A new methodology of fault location for predictive maintenance of transmission lines. International Journal of Electrical Power & Energy Systems. Vol. 42, nº. 1, pp. 568 - 574, November 2012. [Online: June 2012]
