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dc.contributor.author
Ordoudis, Christos
dc.contributor.author
Delikaraoglou, Stefanos
dc.contributor.author
Kazempour, Jalal
dc.contributor.author
Pinson, Pierre
dc.date.accessioned
2020-07-31T15:01:28Z
dc.date.available
2020-07-30T07:35:31Z
dc.date.available
2020-07-31T15:01:28Z
dc.date.issued
2020-12-16
dc.identifier.issn
0377-2217
dc.identifier.issn
1872-6860
dc.identifier.other
10.1016/j.ejor.2020.05.007
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/429174
dc.description.abstract
© 2020 Elsevier B.V. The interdependence between electricity and natural gas systems has lately increased due to the wide deployment of gas-fired power plants (GFPPs). Moreover, weather-driven renewables introduce uncertainty in the operation of the integrated energy system, increasing the need for operational flexibility. Recently proposed stochastic dispatch models optimally use the available flexibility and minimize the total expected system cost. However, these models are incompatible with the current sequential market design. We propose a novel method to optimally define the available natural gas volume for power production scheduling, anticipating the real-time flexibility needs. This volume-based model is formulated as a stochastic bilevel program that aims to enhance the inter-temporal coordination of scheduling and balancing operations, while remaining compatible with the sequential clearing of day-ahead and real-time markets. The proposed model accounts for the inherent flexibility of the natural gas system via the proper modeling of linepack capabilities and reduces the total expected system cost by the optimal definition of natural gas volume availability for GFPPs at the forward phase. The volume-based coordination model is compared with a price-based coordination alternative, which was recently proposed. In the latter one, the natural gas price perceived by GFPPs is similarly adjusted to enhance the temporal coordination of scheduling and balancing stages. This comparison enables us to highlight the main properties and differences between the two coordination mechanisms.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
OR in energy
en_US
dc.subject
Bilevel programming
en_US
dc.subject
Integrated electricity and natural gas systems
en_US
dc.subject
Market-based coordination
en_US
dc.subject
Uncertainty
en_US
dc.title
Market-based coordination of integrated electricity and natural gas systems under uncertain supply
en_US
dc.type
Journal Article
dc.date.published
2020-06-06
ethz.journal.title
European Journal of Operational Research
ethz.journal.volume
287
en_US
ethz.journal.issue
3
en_US
ethz.journal.abbreviated
Eur. J. oper. res.
ethz.pages.start
1105
en_US
ethz.pages.end
1119
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2020-07-30T07:35:51Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-07-31T15:01:44Z
ethz.rosetta.lastUpdated
2021-02-15T15:47:13Z
ethz.rosetta.versionExported
true
ethz.COinS
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