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Research on the Electromagnetic Sensor-Based Partial Discharge Security Monitoring System of Distribution Network

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Big Data and Security (ICBDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1796))

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Abstract

The generation of partial discharges in distribution networks may have a significant negative impact on the secure and stable operation of the power grid. Therefore, it is of great practical value to design a security system that can monitor the partial discharge status of the distribution network in real time, remotely and online. The security monitoring system is expected to effectively diagnose the health status of the power grid system and predict the development of its status. Although the traditional distribution network security monitoring system is capable of monitoring partial discharge to an extent, there is still much room for improvement in terms of signal immunity, data transmission efficiency and intelligent identification of partial discharge patterns. Hence, this paper designs an electromagnetic sensor-based partial discharge security monitoring system to achieve rapid identification, filtering, transmission and processing of local discharge signals. The effect of the proposed security system is verified by applying it to distribution lines, the results show that the security monitoring system based on electromagnetic sensors proposed can effectively meet the actual monitoring requirements of the power grid.

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Correspondence to Xinping Wang .

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Wang, X., Li, C., Yang, X., Jiang, F., Luan, Q., Wang, Y. (2023). Research on the Electromagnetic Sensor-Based Partial Discharge Security Monitoring System of Distribution Network. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_47

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  • DOI: https://doi.org/10.1007/978-981-99-3300-6_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3299-3

  • Online ISBN: 978-981-99-3300-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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