A research on early warning method of Distribution Network Cyber Physical System

A research on early warning method of Distribution Network Cyber Physical System

The high integration of cyber and physics is the development trend of intelligent distribution network in the future, but the cyber system not only supports the stable operation of the physical system, also brings some security risks to the cyber physical system of distribution network. Aiming at th...

Full description

Bibliographic Details
Main Authors: Chen Feng, Wei Xu Wei, Heng Wang Zong, Yang Tao, Yang Huang Hong
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_02054.pdf
id doaj-aa128aeddb644d6c9850f08f7b116326
record_format Article
spelling doaj-aa128aeddb644d6c9850f08f7b1163262021-04-13T09:03:02ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012480205410.1051/e3sconf/202124802054e3sconf_caes2021_02054A research on early warning method of Distribution Network Cyber Physical SystemChen FengWei Xu WeiHeng Wang ZongYang TaoYang Huang HongThe high integration of cyber and physics is the development trend of intelligent distribution network in the future, but the cyber system not only supports the stable operation of the physical system, also brings some security risks to the cyber physical system of distribution network. Aiming at the requirements of real-time, accuracy, efficiency and other characteristics of distribution network monitoring, this paper proposes an early warning method of distribution network cyber physical system based on Hidden Markov model. Firstly, the online monitoring and early warning system architecture of distribution network information physical system is proposed, and then the early warning method of distribution network cyber physical system based on Hidden Markov model is established. Finally, an example is given to verify that the proposed strategy can accurately and efficiently early warn the fault.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_02054.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Chen Feng
Wei Xu Wei
Heng Wang Zong
Yang Tao
Yang Huang Hong
spellingShingle Chen Feng
Wei Xu Wei
Heng Wang Zong
Yang Tao
Yang Huang Hong
A research on early warning method of Distribution Network Cyber Physical System
E3S Web of Conferences
author_facet Chen Feng
Wei Xu Wei
Heng Wang Zong
Yang Tao
Yang Huang Hong
author_sort Chen Feng
title A research on early warning method of Distribution Network Cyber Physical System
title_short A research on early warning method of Distribution Network Cyber Physical System
title_full A research on early warning method of Distribution Network Cyber Physical System
title_fullStr A research on early warning method of Distribution Network Cyber Physical System
title_full_unstemmed A research on early warning method of Distribution Network Cyber Physical System
title_sort research on early warning method of distribution network cyber physical system
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description The high integration of cyber and physics is the development trend of intelligent distribution network in the future, but the cyber system not only supports the stable operation of the physical system, also brings some security risks to the cyber physical system of distribution network. Aiming at the requirements of real-time, accuracy, efficiency and other characteristics of distribution network monitoring, this paper proposes an early warning method of distribution network cyber physical system based on Hidden Markov model. Firstly, the online monitoring and early warning system architecture of distribution network information physical system is proposed, and then the early warning method of distribution network cyber physical system based on Hidden Markov model is established. Finally, an example is given to verify that the proposed strategy can accurately and efficiently early warn the fault.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/24/e3sconf_caes2021_02054.pdf
work_keys_str_mv AT chenfeng aresearchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT weixuwei aresearchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT hengwangzong aresearchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT yangtao aresearchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT yanghuanghong aresearchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT chenfeng researchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT weixuwei researchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT hengwangzong researchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT yangtao researchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
AT yanghuanghong researchonearlywarningmethodofdistributionnetworkcyberphysicalsystem
_version_ 1721529086805803008

Similar Items