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Conference Paper: Smart grids as distributed learning control

TitleSmart grids as distributed learning control
Authors
Hill, DJLiu, TVerbic, G
KeywordsDistributed control
Networked control
Adaptive systems
Smart grids
Issue Date2012
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581
Citation
The IEEE Power and Energy Society General Meeting (PES 2012), San Diego, CA, USA, 22-26 July 2012. In IEEE Power and Energy Society General Meeting Proceedings, 2012, p. Article no. 6344726 How to Cite?
DOI: http://dx.doi.org/10.1109/PESGM.2012.6344726
AbstractThe topic of smart grids has received a lot of attention but from a scientific point of view it is a highly imprecise concept. This paper attempts to describe what could ultimately work as a control process to fulfill the aims usually stated for such grids without throwing away some important principles established by the pioneers in power system control. In modern terms, we need distributed (or multi-agent) learning control which is suggested to work with a certain consensus mechanism which appears to leave room for achieving cyber-physical security, robustness and performance goals. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213552
ISBN
9781467327275
ISSN
1944-9925
2020 SCImago Journal Rankings: 0.345

 

DC FieldValueLanguage
dc.contributor.authorHill, DJ-
dc.contributor.authorLiu, T-
dc.contributor.authorVerbic, G-
dc.date.accessioned2015-08-05T05:48:44Z-
dc.date.available2015-08-05T05:48:44Z-
dc.date.issued2012-
dc.identifier.citationThe IEEE Power and Energy Society General Meeting (PES 2012), San Diego, CA, USA, 22-26 July 2012. In IEEE Power and Energy Society General Meeting Proceedings, 2012, p. Article no. 6344726-
dc.identifier.isbn9781467327275-
dc.identifier.issn1944-9925-
dc.identifier.urihttp://hdl.handle.net/10722/213552-
dc.description.abstractThe topic of smart grids has received a lot of attention but from a scientific point of view it is a highly imprecise concept. This paper attempts to describe what could ultimately work as a control process to fulfill the aims usually stated for such grids without throwing away some important principles established by the pioneers in power system control. In modern terms, we need distributed (or multi-agent) learning control which is suggested to work with a certain consensus mechanism which appears to leave room for achieving cyber-physical security, robustness and performance goals. © 2012 IEEE.-
dc.languageeng-
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581-
dc.relation.ispartofIEEE Power and Energy Society General Meeting Proceedings-
dc.subjectDistributed control-
dc.subjectNetworked control-
dc.subjectAdaptive systems-
dc.subjectSmart grids-
dc.titleSmart grids as distributed learning control-
dc.typeConference_Paper-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.emailLiu, T: taoliu@hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.identifier.authorityLiu, T=rp02045-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/PESGM.2012.6344726-
dc.identifier.scopuseid_2-s2.0-84870607783-
dc.identifier.spageArticle no. 6344726-
dc.identifier.epageArticle no. 6344726-
dc.publisher.placeUnited States-
dc.identifier.issnl1944-9925-

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