4.8 Article

Online Monitoring for Underground Power Cable Insulation Based on Resonance Frequency Analysis Under Chirp Signal Injection

Journal

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 70, Issue 2, Pages 1961-1972

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2022.3159922

Keywords

Monitoring; Chirp; Aging; Power cables; Capacitance; Resonant frequency; Pulse width modulation; Chirp signal injection; common-mode (CM) leakage current; online monitoring; resonance analysis; underground power cable

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This article proposes a novel online monitoring method for underground power cable insulation based on resonance frequency analysis under chirp signal injection, aiming to address the overlooked variation of insulation conductance. An online monitoring scheme based on common-mode chirp signal injection is designed, realizing nonintrusive online monitoring. The resonance frequency under the injected signal is then analyzed to effectively monitor insulation capacitance. Simulations and experiments prove the effectiveness of the proposed method for different system operating conditions.
Online monitoring for underground power cable insulation has become an urgent need in distribution grids, which can lead to proactive maintenance and avoid severe insulation faults. Insulation capacitance has been selected as an effective insulation condition indicator in many researches, but the variation of insulation conductance is always overlooked, resulting in a limited monitoring range and sensitivity. To solve this problem, a novel online monitoring method for underground power cable insulation based on resonance frequency analysis under chirp signal injection is proposed in this article. An online monitoring scheme based on common-mode chirp signal injection is first designed, realizing online monitoring in a nonintrusive manner. The resonance frequency under the injected signal is then analyzed, providing an effective approach to monitor insulation capacitance regardless of the accompanied insulation conductance variation. Simulations and experiments are carried out, proving the effectiveness of the proposed method for different system operating conditions.

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