Electromagnetic sensing for predictive diagnostics of electrical insulation defects in MV power lines

Abstract Insulation degradation is one of the most frequent causes of the failure of electrical components. Partial discharge (PD) has been proven to be a reliable indicator whose early diagnostic can avoid the complete breakdown of the affected component. This paper proposes an online system for PD diagnostic system in a distribution network. A comprehensive diagnostic system is presented by developing a cascaded organization of the detection, location and quantization features. Rogowski coil (induction sensor) is employed for non-intrusive electromagnetic measurement of PD signals. Experimental evaluation is made for over-head covered conductor (CC) lines and medium voltage cables. A scheme is proposed for integration of the developed diagnostic system into the cable network. The explored diagnostic features are equally applicable for cable and CC line based regions of the electricity network. The favorable operating features of the Rogowski coil sensor and simplicity of the applied scheme make it easily adoptable for developing an efficient condition diagnostic system for the distribution networks.

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