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An Innovative Sensor for Cable Joint Monitoring and Partial Discharge Localization

Luca Barbieri, Andrea Villa, Roberto Malgesini, Daniele Palladini and Christian Laurano
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Luca Barbieri: Ricerca sul Sistema Energetico RSE S.p.A., Via Rubattino 54, 20134 Milano, Italy
Andrea Villa: Ricerca sul Sistema Energetico RSE S.p.A., Via Rubattino 54, 20134 Milano, Italy
Roberto Malgesini: Ricerca sul Sistema Energetico RSE S.p.A., Via Rubattino 54, 20134 Milano, Italy
Daniele Palladini: Ricerca sul Sistema Energetico RSE S.p.A., Via Rubattino 54, 20134 Milano, Italy
Christian Laurano: Ricerca sul Sistema Energetico RSE S.p.A., Via Rubattino 54, 20134 Milano, Italy

Energies, 2021, vol. 14, issue 14, 1-12

Abstract: To enhance grid reliability, weak points must be monitored. One of the weaknesses is the cable joints, which are prone to failure and can cause great losses from both a technical and economical point of view. Joints failures are usually caused by impurities unintentionally added during installation that cause partial discharges (PDs). In time, these discharges erode the insulation and generate treeing up to a destructive discharge between the conductor and the ground shield. For this reason, a method for the early detection of defects in joint installation and their online monitoring is required. A previously developed sensor was improved by adapting it for this purpose. It is based on the measurement of the induced current on a conductor due to a charge variation. It was experimentally tested on an actual joint in which defects were artificially introduced. Results show that the sensor is able to detect partial discharges. Moreover, a method for PD localization was developed. The first results show a coherency between the possible defect location, numerical simulations and historical background.

Keywords: joints; partial discharges; network reliability; power cables; localization; early detection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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