Cyber attack protection and control of microgrids

Rana, MM; Li, L; Su, SW

Cyber attack protection and control of microgrids

Rana, MM

Li, L

Su, SW

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Publication Type:: Journal Article
Citation:: IEEE/CAA Journal of Automatica Sinica, 2018, 5 (2), pp. 602 - 609
Issue Date:: 2018-03-01

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Field	Value	Language
dc.contributor.author	Rana, MM https://orcid.org/0000-0003-2317-6327	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.date.available	2016-05-25	en_US
dc.date.issued	2018-03-01	en_US
dc.identifier.citation	IEEE/CAA Journal of Automatica Sinica, 2018, 5 (2), pp. 602 - 609	en_US
dc.identifier.issn	2329-9266	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131359
dc.description.abstract	© 2014 Chinese Association of Automation. Recently, the smart grid has been considered as a next-generation power system to modernize the traditional grid to improve its security, connectivity, efficiency and sustainability. Unfortunately, the smart grid is susceptible to malicious cyber attacks, which can create serious technical, economical, social and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional U+0028 RSC U+0029 code and Kalman filter U+0028 KF U+0029 based method in the context of smart grids. Specifically, the proposed RSC code is used to add redundancy in the microgrid states, and the log maximum a-posterior is used to recover the state information, which is affected by random noises and cyber attacks. Once the estimated states are obtained by KF algorithm, a semidefinite programming based optimal feedback controller is proposed to regulate the system states, so that the power system can operate properly. Test results show that the proposed approach can accurately mitigate the cyber attacks and properly estimate and control the system states.	en_US
dc.relation.ispartof	IEEE/CAA Journal of Automatica Sinica	en_US
dc.relation.isbasedon	10.1109/JAS.2017.7510655	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Cyber attack protection and control of microgrids	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	5	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	080303 Computer System Security	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

© 2014 Chinese Association of Automation. Recently, the smart grid has been considered as a next-generation power system to modernize the traditional grid to improve its security, connectivity, efficiency and sustainability. Unfortunately, the smart grid is susceptible to malicious cyber attacks, which can create serious technical, economical, social and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional U+0028 RSC U+0029 code and Kalman filter U+0028 KF U+0029 based method in the context of smart grids. Specifically, the proposed RSC code is used to add redundancy in the microgrid states, and the log maximum a-posterior is used to recover the state information, which is affected by random noises and cyber attacks. Once the estimated states are obtained by KF algorithm, a semidefinite programming based optimal feedback controller is proposed to regulate the system states, so that the power system can operate properly. Test results show that the proposed approach can accurately mitigate the cyber attacks and properly estimate and control the system states.

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http://hdl.handle.net/10453/131359