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Smart grids as distributed learning control

Hill, David; Liu, Tao; Verbic, Gregor

Description

The 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...[Show more]

dc.contributor.authorHill, David
dc.contributor.authorLiu, Tao
dc.contributor.authorVerbic, Gregor
dc.coverage.spatialSan Diego USa
dc.date.accessioned2015-12-13T22:17:50Z
dc.date.createdJuly 22-26 2012
dc.identifier.isbn9781467327275
dc.identifier.urihttp://hdl.handle.net/1885/71342
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE Power and Energy Society General Meeting 2012
dc.sourceIEEE Power and Energy Society General Meeting
dc.subjectKeywords: Control process; Distributed control; Distributed learning; Learning control; Power system controls; Smart grid; Adaptive systems; Learning algorithms; Networked control systems; Smart power grids Adaptive systems; Distributed control; Networked control systems; Smart grids
dc.titleSmart grids as distributed learning control
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2012
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.ariespublicationf5625xPUB2671
local.type.statusPublished Version
local.contributor.affiliationHill, David, University of Sydney
local.contributor.affiliationLiu, Tao, College of Engineering and Computer Science, ANU
local.contributor.affiliationVerbic, Gregor, University of Sydney
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage8
local.identifier.doi10.1109/PESGM.2012.6344726
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2016-02-24T09:01:19Z
local.identifier.scopusID2-s2.0-84870607783
CollectionsANU Research Publications

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