Abstract
Cables in 10 kV distribution networks play a key function in ensuring the secure operation of distribution network systems. The traditional methods of diagnosing partial discharges in 10 kV cables need to be improved at the levels of cost, efficiency, diagnostic accuracy, and anti-interference capability. Therefore, this paper studies and designs a security diagnosis platform that can effectively extract, identify and diagnose the signal characteristics of cable discharge models. The architecture and diagnostic process of the proposed system are described in details. Through the security diagnostic verification of the partial discharge capability of 10 kV cables in distribution networks, the effectiveness and efficiency of the proposed platform is validated. The application results show its capability in quickly locating and eliminating hidden cable insulation problems in distribution networks. The proposed platform, through the integration of different modules, is expected to significantly improve the security and reliability of power system.
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Wang, X., Guan, G., Li, C., Zhang, H., Jiang, C., Song, Q. (2023). Research on the Security Diagnosis Platform for Partial Discharge of 10 kV Cables in Urban Distribution Networks. 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_46
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DOI: https://doi.org/10.1007/978-981-99-3300-6_46
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