2020
DOI: 10.11591/eei.v9i2.2076
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Modelling and simulation of online partial discharge measurement for medium voltage power cable

Abstract: This paper presents the modelling of the online partial discharge (PD) measurement of the medium voltage (MV) power cable. Recently, PD monitoring trends are rapidly increasing due to high demand on reliable systems. Degradation are mainly due to the presence of PD in the high voltage power equipment used. PD measurement is therefore a highly recommended task to early detection of the degradation insulation for high voltage (HV) equipment in order to avoid breakdowns. Real network modelling is necessary to imp… Show more

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Cited by 2 publications
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“…In other studies researchers discovered that the PD detection with online techniques needs the sensors' sensitivity with wide bandwidth, since PD signals can be distorted if the bandwidth is narrow (Fukunaga et al, 1992;Mulroy et al, 2012;Wei et al, 2000). Moreover, other parameters like voltages, currents and temperature can be monitored on-line to determine a defected portion of the cable (Abdullah et al, 2020(Abdullah et al, , 2021Ghaedi et al, 2016). This paper presents a comparative analysis on location, quantification and detection of three potential on-line techniques to detect PD activity within the cable joint.…”
Section: Introductionmentioning
confidence: 99%
“…In other studies researchers discovered that the PD detection with online techniques needs the sensors' sensitivity with wide bandwidth, since PD signals can be distorted if the bandwidth is narrow (Fukunaga et al, 1992;Mulroy et al, 2012;Wei et al, 2000). Moreover, other parameters like voltages, currents and temperature can be monitored on-line to determine a defected portion of the cable (Abdullah et al, 2020(Abdullah et al, , 2021Ghaedi et al, 2016). This paper presents a comparative analysis on location, quantification and detection of three potential on-line techniques to detect PD activity within the cable joint.…”
Section: Introductionmentioning
confidence: 99%