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dc.contributor.author
Paturet, Matthieu
dc.contributor.author
Markovic, Uros
dc.contributor.author
Delikaraoglou, Stefanos
dc.contributor.author
Vrettos, Evangelos
dc.contributor.author
Aristidou, Petros
dc.contributor.author
Hug, Gabriela
dc.date.accessioned
2020-09-10T09:46:51Z
dc.date.available
2020-09-09T03:03:31Z
dc.date.available
2020-09-10T09:46:51Z
dc.date.issued
2020-09
dc.identifier.issn
0885-8950
dc.identifier.issn
1558-0679
dc.identifier.other
10.1109/TPWRS.2020.2987076
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/439165
dc.description.abstract
In this paper, the Unit Commitment (UC) problem in a power network with low levels of rotational inertia is studied. Frequency-related constraints, namely the limitation on Rate-of-Change-of-Frequency (RoCoF), frequency nadir and steady-state frequency error, are derived from a uniform system frequency response model that incorporates dynamics and controls of both synchronous generators and grid-forming inverters. These constraints are then included into a stochastic UC formulation that accounts for wind power and equipment contingency uncertainties using a scenario-tree approach. In contrast to the linear RoCoF and steady-state frequency error constraints, the nadir constraint is highly nonlinear. To preserve the mixed-integer linear formulation of the stochastic UC model, we propose a computationally efficient approach that allows to recast the nadir constraint by introducing appropriate bounds on relevant decision variables of the UC model. This method is shown to be generally more accurate and computationally more efficient for medium-sized networks than a piece-wise linearization method adapted from the literature. Simulation results for a modified IEEE RTS-96 system revealed that the inclusion of inertia-related constraints significantly influences the UC decisions and increases total costs, as more synchronous machines are forced to be online to provide inertial response.
en_US
dc.language.iso
en
en_US
dc.publisher
Institute of Electrical and Electronic Engineers
en_US
dc.subject
Generators
en_US
dc.subject
Frequency control
en_US
dc.subject
Damping
en_US
dc.subject
Stochastic processes
en_US
dc.subject
Power system dynamics
en_US
dc.subject
Turbines
en_US
dc.subject
Wind power generation
en_US
dc.subject
Unit commitment
en_US
dc.subject
low-inertia grid
en_US
dc.subject
frequency constraints
en_US
dc.subject
wind uncertainty
en_US
dc.subject
voltage source converter
en_US
dc.title
Stochastic Unit Commitment in Low-Inertia Grids
en_US
dc.type
Journal Article
dc.date.published
2020-04-13
ethz.journal.title
IEEE Transactions on Power Systems
ethz.journal.volume
35
en_US
ethz.journal.issue
5
en_US
ethz.journal.abbreviated
IEEE Trans. Power Syst.
ethz.pages.start
3448
en_US
ethz.pages.end
3458
en_US
ethz.size
11 p.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
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
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
2020-09-09T03:03:39Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-09-10T09:47:03Z
ethz.rosetta.lastUpdated
2021-02-15T17:07:56Z
ethz.rosetta.versionExported
true
ethz.COinS
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