Development of a system for detecting and locating damaged insulator strings with signals collected at substations
Desarrollo de un sistema para detección y localización de cadenas de aisladores dañadas a partir de señales registradas en subestaciones
DOI:
https://doi.org/10.15446/ing.investig.v35n1.41832Keywords:
insulator strings, transmission line, neural network, current transformer (en)cadenas de aisladores, línea de transmisión, redes neuronales, transformador de corriente (es)
This paper presents a novel technique for remotely identifying and locating of damaged insulator strings based on an analysis of noise signals recorded on the ground connection of current transformers installed on transmission line substations. Damaged insulators usually present electrical surface activity. Surface and corona discharges may result in the generation of high frequency signals that can travel through the transmission line conductors, which are recorded by a data acquisition system. Each signal generated by the surface or corona discharge has a unique signature. This signature changes according to the position of the source, i.e., the damaged string along the line, which enables the association between the signal signature and the location of the string along the line. A method proposed to achieve this association is discussed in this paper as well as the tools and tests carried out during its development. An innovative way for capacitive coupling, which reduce detection system implementation costs is presented
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Copyright (c) 2015 Renato Massoni Capelini

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