Design of Power Edge Intelligent Terminal Based on Artificial Intelligence Algorithm

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Conference Proceedings of the 2023 3rd International Joint Conference on Energy, Electrical and Power Engineering (CoEEPE 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1208))

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Abstract

With the growth of the power IoT and the digital transformation of energy, millions of power edge terminals such as electric quantity sensors, state quantity sensors and intelligent video monitoring systems will be connected to the power IoT, resulting in massive heterogeneous data. As an extension of the main network of the traditional CEDnet, the power terminal communication network is not only an important part of the electric power system (EPS) infrastructure, but also the basis of power distribution dispatching automation, network operation marketization and management modernization. In this article, the communication strategy of power edge intelligent terminal based on artificial intelligence (AI) algorithm is proposed, and a set of secure data interaction mechanism is established to adapt to the existing system architecture of electrified wire netting. The simulation results show that the RMSE and algorithm accuracy of this method are at a high level. The accuracy of the algorithm can reach 94.98%, which is about 10.5% higher than that of the traditional method. The results show that this method has certain reliability and superior performance, which can realize the secure exchange of data level and the authorized access of business level, and ensure the transmission security of data in the process of internal and external network interaction.

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Acknowledgement

This work is supported by the National Key R&D Program of China (2020YFB0906000, 2020YFB0906001) and Science and Technology Project of Guizhou Power Grid Co., Ltd. (GZKJXM20200720).

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Correspondence to Changbao Xu .

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**ao, N., Xu, C., **n, M. (2024). Design of Power Edge Intelligent Terminal Based on Artificial Intelligence Algorithm. In: Hu, C., Cao, W. (eds) Conference Proceedings of the 2023 3rd International Joint Conference on Energy, Electrical and Power Engineering. CoEEPE 2023. Lecture Notes in Electrical Engineering, vol 1208. Springer, Singapore. https://doi.org/10.1007/978-981-97-3940-0_85

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  • DOI: https://doi.org/10.1007/978-981-97-3940-0_85

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-3939-4

  • Online ISBN: 978-981-97-3940-0

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