Development of a system for detecting and locating damaged insulator strings with signals collected at substations

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

• Autores: Capelini, Renato Massoni
• Tipo de recurso: Article of journal
• Fecha de publicación: 2015
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/67680
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/67680; http://bdigital.unal.edu.co/68709/
• Palabra clave: 62 Ingeniería y operaciones afines / Engineering; insulator strings; transmission line; neural network; current transformer; cadenas de aisladores; línea de transmisión; redes neuronales; transformador de corriente
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional