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dc.contributor.author
Bansal, Somil
dc.contributor.author
Zeilinger, Melanie N.
dc.contributor.author
Tomlin, Claire J.
dc.date.accessioned
2020-10-01T08:50:32Z
dc.date.available
2017-06-11T18:45:24Z
dc.date.available
2020-10-01T08:50:32Z
dc.date.issued
2014
dc.identifier.isbn
978-1-4673-6090-6
en_US
dc.identifier.isbn
978-1-4799-7746-8
en_US
dc.identifier.isbn
978-1-4673-6089-0
en_US
dc.identifier.other
10.1109/CDC.2014.7040312
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/103198
dc.description.abstract
This paper presents a predictive controller for handling plug-and-play (P&P) charging requests of electric vehicles (EVs) in a distribution system. The proposed method uses a two-stage hierarchical control scheme based on a model predictive control (MPC) formulation for tracking periodic references. The first stage computes a reachable periodic reference that trades off deviation from the nominal voltage with the required generation control. The second stage computes a controller that tracks this reference and charges the EVs, while satisfying system constraints at all times. Under the assumption of a time-periodic load, it is shown that the proposed controller is recursively feasible and exponentially stable i.e. the EVs' state of charge (SOC) and bus voltages converge to the desired SOC and to the optimal periodic reference respectively. Finally, the proposed scheme is illustrated in a set of examples.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Plug-and-play model predictive control for electric vehicle charging and voltage control in smart grids
en_US
dc.type
Conference Paper
dc.date.published
2015-02-12
ethz.book.title
2014 IEEE 53rd Annual Conference on Decision and Control (CDC 2014)
en_US
ethz.pages.start
5894
en_US
ethz.pages.end
5900
en_US
ethz.event
53rd IEEE Annual Conference on Decision and Control (CDC 2014)
en_US
ethz.event.location
Los Angeles, CA, USA
en_US
ethz.event.date
December 15-17, 2014
en_US
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::09563 - Zeilinger, Melanie / Zeilinger, Melanie
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02619 - Inst. Dynam. Syst. u. Regelungstechnik / Inst. Dynamic Systems and Control::09563 - Zeilinger, Melanie / Zeilinger, Melanie
ethz.date.deposited
2017-06-11T18:46:08Z
ethz.source
ECIT
ethz.identifier.importid
imp593653624411817855
ethz.ecitpid
pub:161400
ethz.eth
no
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-12T23:18:29Z
ethz.rosetta.lastUpdated
2023-02-06T20:29:51Z
ethz.rosetta.versionExported
true
ethz.COinS
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