Paper
18 July 2023 Cloud-edge collaborative data processing optimization method for low-voltage power distribution in new-type power system
Jie Zhang, Tao Lu, Peng Song, Peng Chen, Nan Chen
Author Affiliations +
Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272248 (2023) https://doi.org/10.1117/12.2679678
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China
Abstract
To improving the resource utilization and data processing efficiency for low-voltage power distribution in new-type power system, this paper first investigates a cloud-edge collaborative edge processing architecture for low-voltage power distribution. Then, a cloud-edge collaborative data processing optimization method for low-voltage power distribution is proposed to optimize the data processing mode and computing resource allocation strategies. Simulation results show that the proposed method can effectively ensure the data processing efficiency and stabilization for low-voltage power distribution.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Zhang, Tao Lu, Peng Song, Peng Chen, and Nan Chen "Cloud-edge collaborative data processing optimization method for low-voltage power distribution in new-type power system", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272248 (18 July 2023); https://doi.org/10.1117/12.2679678
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KEYWORDS
Data processing

Clouds

Data transmission

Power grids

Cloud computing

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