What question did this study set out to answer?

To address critical issues in power line carrier communication systems of smart grids using an intelligent optimization scheme.

June 11, 2026International Journal of Information and Communication Technology0 citationsOpen Access

Fault diagnosis and self-healing of power line carrier communication enabled by artificial intelligence: smart grid application based on data mining

BWBenrong Wang W(Wei Huang (36889)Wuhan Botanical Garden

Key Points

To address critical issues in power line carrier communication systems of smart grids using an intelligent optimization scheme.
Proposed an intelligent optimization scheme integrating data mining and artificial intelligence (IOSDM-AI).
Utilized a multi-model coupling mechanism driven by real-time communication data.
Employed metrics to measure accuracy, diagnosis delay, missed diagnosis rate, and self-healing success rate.
Achieved 94.7% accuracy with a diagnosis delay of 108.3 ms.
Missed and misdiagnosis rates were low at 0.7% and 2.1% respectively.
Self-healing success rate reached 96.8% with an average self-healing time of 2.3 seconds.

Abstract

Aiming at the core problems faced by the power line carrier communication system of smart grid, such as severe channel attenuation, complex and changeable interference sources, delayed fault location and slow self-healing response, and the existing methods have significant shortcomings in reliability, real-time and scene adaptability, this paper proposes an intelligent optimisation scheme based on the integration of data mining and artificial intelligence (IOSDM-AI).Through the multi-model coupling mechanism, the scheme is driven by real-time communication data flow to achieve accurate fault diagnosis, rapid location and adaptive self-healing, while ensuring the stable operation of the system.The results show that the accuracy of IOSDM-AI algorithm is 94.7%, the diagnosis delay is reduced to 108.3 ms, and the missed diagnosis rate and misdiagnosis rate are as low as 0.7% and 2.1%, respectively.The self-healing success rate is 96.8%, the average self-healing time is reduced to 2.3 s, the communication link stability index is 9.28, and the self-healing strategy execution accuracy (FSE) is 428.

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Cite This Study

Wang et al. (Thu,) studied this question.

synapsesocial.com/papers/6a2a503380c8f91e7f39cd5c https://doi.org/https://doi.org/10.1504/ijict.2026.153942

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