Conservative linear line flow constraints for AC optimal power flow
dc.contributor.author
Shchetinin, Dmitry
dc.contributor.author
De Rubira, Tomas T.
dc.contributor.author
Hug, Gabriela
dc.date.accessioned
2020-10-02T11:11:34Z
dc.date.available
2017-12-12T05:06:51Z
dc.date.available
2017-12-05T05:21:35Z
dc.date.available
2018-01-03T14:25:58Z
dc.date.available
2020-10-02T11:11:34Z
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.2017.7981156
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/224063
dc.description.abstract
The AC optimal power flow problem is a non-convex optimization problem that is difficult to solve quickly and reliably for large-scale grids. To enable the application of efficient and robust solution algorithms, various linear approximations of the nonlinear system model are used. However, this may lead to solutions that are AC suboptimal or even infeasible. This paper proposes new linearization techniques for constructing accurate line flow constraints that reduce the complexity of the AC optimal power flow problem without compromising the solution quality. In particular, it investigates the shape of the nonlinear constraints in polar coordinates and presents methods for producing conservative linear approximations with a desired accuracy. Numerical experiments are performed on systems with 118, 300 and 1354 buses. Obtained results indicate that the proposed formulation leads to a significant decrease in the computation time while at the same time providing high quality approximations of the exact line flows.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Linearization
en_US
dc.subject
Optimal power flow
en_US
dc.subject
Thermal limits
en_US
dc.title
Conservative linear line flow constraints for AC 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
1914
en_US
ethz.pages.end
1919
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
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
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
2018-01-03T14:26:01Z
ethz.rosetta.lastUpdated
2024-02-02T12:13:25Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/219916
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/216975
ethz.COinS
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