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Edge–Cloud Collaboration-Based Plug and Play and Topology Identification for Microgrids: The Case of Jingshan Microgrid Project in Hubei, China.

Authors :
Yang, Zhichun
Han, Ji
Wang, Qihang
Zhang, Kai
Deng, Yuting
Yang, Fan
Lei, Yang
Hu, Wei
Min, Huaidong
Source :
Electronics (2079-9292); Sep2023, Vol. 12 Issue 17, p3699, 29p
Publication Year :
2023

Abstract

The rapid advancement of renewable energy technologies necessitates innovative solutions for the efficient deployment and management of microgrid systems. This paper presents a detailed study on the implementation of edge–cloud collaboration-based plug and play (PnP) and topology identification for microgrids, focusing on the Jingshan AC/DC Microgrid Cluster System (JS-MCS) in Hubei, China. Firstly, the paper elucidates the structure of JS-MCS's physical system and integral information system, comprising the cloud platform, communication network, edge unit, and terminal unit. The following sections introduce the methods of PnP, describing the overall procedure and specific implementations between cloud and edge and cloud and terminal. Then, a novel approach for topology identification is further explored based on correlation analysis. An exemplary analysis of the studied system, JS-MCS, accentuates practical insights into the application of PnP and topology identification methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20799292
Volume :
12
Issue :
17
Database :
Complementary Index
Journal :
Electronics (2079-9292)
Publication Type :
Academic Journal
Accession number :
171857428
Full Text :
https://doi.org/10.3390/electronics12173699