Abstract
The presence of partial discharge (PD) in electricalequipment is the confirmation or indication of an ongoingdegradation of its dielectric insulation. PD study is a widely usedtool for condition monitoring of medium voltage (MV) cables.The location of the defects can be considered as one of the mostimportant tasks of diagnosis in underground installations of MVcables. A lot of references can be found on the location of singlePD sources along the cable. However, several PD defects can beactive simultaneously along a cable section. This paper presentsan experimental study on a MV cable having two PD sourcesand noise. Adopting one end measurement technique, a highfrequency current transformer (HFCT) is used to capture the PDcurrent pulses. A simple approach of identification of the PDsignals originated from different PD sources is presented basedon wave-shape study along with a time domain reflectometryanalysis. The presented measurement methodology and timedomain analysis technique provides a convenient way fordetection and location of more than one PD sources along a cablesection.
Highlights
Power distribution system consists of different types of lines carrying electric power from medium voltage (MV) substation to the consumers via distribution transformers
There has been recent progresses in the detection and location of multiple partial discharge (PD) sources in the transformers using acoustic sensors based on the travelling time of the shock wave created by the PD [5]
Reference [6] presents a work to detect the presence of the multiple PD sources along a cable section using power spectral separation
Summary
Power distribution system consists of different types of lines carrying electric power from medium voltage (MV) substation to the consumers via distribution transformers. Most of the work is done to detect and locate the presence of a single PD defect on a section of a cable. Reference [6] presents a work to detect the presence of the multiple PD sources along a cable section using power spectral separation. The use of such technique is valuable; its implementation needs high expertise on signal processing techniques, combined with artificial intelligence, some prior knowledge of PD defects, and assumptions of the number of PD sources, to guide the technique to make the signal identification. For ɛc=1 (relative permittivity) and ɛi=2.3 (for XLPE), the electric field intensity in the cavity is approximately 2.3 times that of the surrounding insulation at a certain applied voltage. A typical PD pulse is compared with the practically measured PD pulse in Fig. 2 where A is the peak value of the pulse, α1 is the rate of rise-time and α2 is the rate of fall-time
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