A New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMS

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dc.contributor.authorZhao, Junboen
dc.contributor.authorWang, Shaobuen
dc.contributor.authorZhou, Ningen
dc.contributor.authorHuang, Renkeen
dc.contributor.authorMili, Lamine M.en
dc.contributor.authorHuang, Zhenyuen
dc.date.accessioned2024-01-22T14:44:53Zen
dc.date.available2024-01-22T14:44:53Zen
dc.date.issued2019-08-01en
dc.description.abstractAccurate system state information under various operation conditions is a prerequisite for power grid monitoring and efficient control. To achieve that goal, a new multi-scale state estimation framework is proposed, paving the way for the development of next generation of energy management system (EMS). The developed framework consists of three key components, namely the static state estimation (SSE) module, the dynamic state estimation (DSE) module, the interfaces and switching logics between the two modules. Specifically, the singular spectrum analysis (SSA)-based change point detection approach is developed to monitor the system continuously. If no event is detected by the SSA, the robust SSE using both SCADA and PMU measurements is executed. Otherwise, the event is declared and the results from SSE are used to derive the initial condition for DSE. During the transient process, only PMU-based DSE is executed for system monitoring and it will be terminated when SSA does not detect any change point of the system. After that, the DSE results are forwarded for SSE initialization and bus voltage magnitude and angle estimations. Simulation results carried out on the IEEE 39-bus system demonstrate the effectiveness and benefits of the proposed framework.en
dc.description.versionPublished versionen
dc.format.extentPages 1-5en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/PESGM40551.2019.8973858en
dc.identifier.eissn1944-9933en
dc.identifier.isbn9781728119816en
dc.identifier.issn1944-9925en
dc.identifier.orcidMili, Lamine [0000-0001-6134-3945]en
dc.identifier.urihttps://hdl.handle.net/10919/117512en
dc.identifier.volume2019-Augusten
dc.language.isoenen
dc.publisherIEEEen
dc.rightsPublic Domain (U.S.)en
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/en
dc.titleA New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMSen
dc.title.serialIEEE Power and Energy Society General Meetingen
dc.typeConference proceedingen
dc.type.dcmitypeTexten
dc.type.otherConference Proceedingen
pubs.finish-date2019-08-08en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Electrical and Computer Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen
pubs.start-date2019-08-04en

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