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A P2P network based edge computing smart grid model for efficient resources coordination

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Abstract

Smart grid (SG) is a dynamic distributed grid that the production, storage and users of electricity will work together under specific control, in which an important challenge is how to achieve unified control of distributed equipment on coordinating generators and users distributed in different geographical locations. The peer-to-peer (P2P) technology represents an open distributed network architecture with reliability, robustness and extensibility, which can be the candidate model for the smart grid system to manage power resources by combining with the edge computing. In this paper, we propose a P2P network based edge computing smart grid model that P2P networks is applied to edge computing layer. The innovation of the model is that the edge computing nodes can be used to collect, compute, and store data while the edge computing nodes are being peer-to-peer connected, by which can communicate with each other after data processing. By exploiting the proposed model, the experimental results of the extended ADMM algorithm show that there is a significant improvement in terms of energy resources management to decrease economic cost, increasing utilization of renewable energy as well as abilities of real time control.

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Acknowledgements

This work was supported by National Key R&D Program of China(2018YFB0904900, 2018YFB0904905).

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Authors and Affiliations

  1. National Key Laboratory of Science and Technology on Communication, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, People’s Republic of China, 611731

    WenJing Hou, Wenxin Lei, Hong Wen & Songling Chen

  2. EPRI, China Southern Power Grid Co. Ltd., Guangzhou, China

    Yixin Jiang & Aidong Xu

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  1. WenJing Hou
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  2. Yixin Jiang
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  3. Wenxin Lei
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Correspondence to WenJing Hou or Hong Wen.

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Hou, W., Jiang, Y., Lei, W. et al. A P2P network based edge computing smart grid model for efficient resources coordination. Peer-to-Peer Netw. Appl. 13, 1026–1037 (2020). https://doi.org/10.1007/s12083-019-00870-9

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  • DOI: https://doi.org/10.1007/s12083-019-00870-9

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