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

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CIRED 2019 - 1054.pdf (355.42 KB)

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.

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Keywords

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