Abstract
Already installed cables are aging and the cable network is growing rapidly. Improved condition monitoring methods are required for greater visibility of insulation defects in the cable networks. One of the critical challenges for continuous monitoring is the large amount of partial discharge (PD) data that poses constraints on the diagnostic capabilities. This paper presents the performance comparison of two data acquisition techniques based on phase resolved partial discharge (PRPD) and pulse acquisition (PA). The major contribution of this work is to provide an in-depth understanding of these techniques considering the perspective of randomness of the PD mechanism and improvements in the reliability of diagnostics. Experimental study is performed on the medium voltage (MV) cables in the laboratory environment. It has been observed that PRPD based acquisition not only requires a significantly larger amount of data but is also susceptible to losing the important information especially when multiple PD sources are being investigated. On the other hand, the PA technique presents improved performance for PD diagnosis. Furthermore, the use of the PA technique enables the efficient practical implementation of the continuous PD monitoring by reducing the amount of data that is acquired by extracting useful signals and discarding the silent data intervals.
Highlights
Networks are growing and underground cable installation is increasing, especially in urban areas.The number of cable interconnections is increasing, bringing more joints and terminations that are most vulnerable parts of the cable system considering insulation degradation
This paper presents a comprehensive study of two widely used methods to capture the partial discharge (PD) data; data acquisition techniques based on phase resolved partial discharge (PRPD) measurements and pulse acquisition (PA) measurements
Setupshielding is, e.g., cross-linked polyethylene (XLPE) or paper, the propagation velocity is reduced by the velocity factor that depends on the square root of the relative permittivity of PD measurements have been done on medium voltage (MV) cables in the laboratory environment as shown in the insulation
Summary
Networks are growing and underground cable installation is increasing, especially in urban areas. The increased speed of processing units is one way to address the challenge of processing large amounts of data Such solutions alone are not sufficient for long term or continuous monitoring. Emphasizing the enhancement of digital signal processing techniques for PD analysis, the work presented in [14] highlights that intelligent algorithms are required for the reduction of the data. These algorithms have the capability to identify the important PD data from the repetitive measurements and store it in the database for tracking the long-term history of components’ aging.
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