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

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Paper number
1054
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
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.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
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