• Admin Login
    View Item 
    •   CIRED Repository Home
    • CIRED Proceedings
    • CIRED 2019 Conference
    • View Item
    •   CIRED Repository Home
    • CIRED Proceedings
    • CIRED 2019 Conference
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Data collecting and processing method in distribution system using edge computing technology

    Thumbnail
    View/Open
    CIRED 2019 - 1054.pdf (355.4Kb)
    Paper number
    1054
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
    Show full item record
    Authors
    Wang, Haizhu, Electric Power Dispatching Control Center of Guangdong Power Grid Co.- Ltd, China
    Guo, Wenxin, Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd, China
    Guo, Caishan, School of Electric Power South China University of Technology, China
    Sun, Yuyan, School of Electric Power South China University of Technology, China
    Lu, Jiangang, Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd, China
    Zhao, Ruifeng, Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd, China
    Liu, Yang, Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd, China
    Abstract
    With the improvement of automation system and the proliferation of Internet of Things (IoT) in the distribution system (DS), massive heterogeneous data generated at the edge of DS is utilized for various applications. Edge computing can be a good solution to manage those data while guarantee diverse performance requirements, especially limited latency. In this paper, we propose a cloud-edge architecture for DS, and specifically illustrate the logic design of the edge computing (EC) device for DS (DSEC). In order to manage data at the edge of DS, a DSEC-based data collecting method, including a protocol identification and conversion method, a naming method and a data management method, is proposed. Lastly, a DSEC-based data processing method considering local processing and cloud offloading is designed to improve the utilization of cloud & edge resources. The proposed methods can ensure rapid data analysis requirements and better data service in DS.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/263
    http://dx.doi.org/10.34890/493
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

    Browse

    All of CIRED RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Admin LoginRegister

    DSpace software copyright © 2002-2023  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV