Fully distributed corrective security constrained optimal power flow
dc.contributor.author
Mohammadi, Javad
dc.contributor.author
Kar, Soummya
dc.contributor.author
Hug, Gabriela
dc.date.accessioned
2020-10-02T11:30:40Z
dc.date.available
2017-12-12T05:19:00Z
dc.date.available
2017-12-05T05:21:39Z
dc.date.available
2018-01-19T08:21:55Z
dc.date.available
2020-10-02T11:30:40Z
dc.date.issued
2017
dc.identifier.isbn
978-1-5090-4237-1
en_US
dc.identifier.isbn
978-1-5090-4238-8
en_US
dc.identifier.other
10.1109/PTC.2017.7981066
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/231161
dc.description.abstract
Distributed energy resources are shaping the future of power systems. Coordination of these geographically scattered resources motivates the need for adoption of distributed control strategies. This paper presents a fully distributed DC Corrective Security Constrained Optimal Power Flow (CSCOPF) for electricity networks in which the transmission lines are potentially instrumented with Distributed Flexible AC Transmission Systems (D-FACTS). Our algorithm is based on a multi-agent view of the system, where each bus (agent) is equipped with communication and computation capabilities. Our proposed iterative procedure solves the first order optimality conditions of the underlying CSCOPF problem in a distributed manner. Each bus is responsible for updating few local variables and exchanging limited information with neighboring buses. The first order optimality conditions, which merely involve local information, constitute update functions for buses. The performance is evaluated using the IEEE 118-bus system.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Distributed Corrective Security Constrained Optimal Power Flow
en_US
dc.subject
Innovation-based Approach
en_US
dc.subject
Distributed Flexible AC Transmission Systems (D-FACTS)
en_US
dc.title
Fully distributed corrective security constrained optimal power flow
en_US
dc.type
Conference Paper
dc.date.published
2017-07-20
ethz.book.title
2017 IEEE Manchester PowerTech
en_US
ethz.pages.start
1432
en_US
ethz.pages.end
1437
en_US
ethz.event
12th IEEE PES PowerTech Conference (PowerTech 2017)
en_US
ethz.event.location
Manchester, United Kingdom
ethz.event.date
June 18-22, 2017
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02632 - Inst. f. El. Energieübertragung u. Hoch. / Power Systems and High Voltage Lab.::09481 - Hug, Gabriela / Hug, Gabriela
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02632 - Inst. f. El. Energieübertragung u. Hoch. / Power Systems and High Voltage Lab.::09481 - Hug, Gabriela / Hug, Gabriela
en_US
ethz.date.deposited
2017-12-05T05:21:48Z
ethz.source
WOS
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-01-19T08:21:59Z
ethz.rosetta.lastUpdated
2024-02-02T12:13:31Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/219984
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/216981
ethz.COinS
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