Paper
16 June 2023 Cloud-edge collaboration mechanism for low-voltage power distribution grid service operation
Peng Song, Tao Lu, Peng Chen, Long Peng, Qian Li
Author Affiliations +
Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127021R (2023) https://doi.org/10.1117/12.2679321
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China
Abstract
In order to realize meet the requirements of real-time and efficient processing of massive low-voltage power distribution grid service operation data, this paper constructs a cloud-edge collaboration architecture to greatly relieve the pressure of the uplink. Then, a cloud-edge collaborative-based task segmentation mechanism for low-voltage distribution grid service operation is proposed to minimize the total transmission and computing delay. Simulation results show that the proposed mechanism can improve the total delay performance and achieve better resource utilization rate compared with two comparison algorithms.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Song, Tao Lu, Peng Chen, Long Peng, and Qian Li "Cloud-edge collaboration mechanism for low-voltage power distribution grid service operation", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127021R (16 June 2023); https://doi.org/10.1117/12.2679321
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KEYWORDS
Power grids

Clouds

Data transmission

Data processing

Data communications

Cloud computing

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