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dc.contributor.author
Abrell, Jan
dc.contributor.author
Kunz, Friedrich
dc.date.accessioned
2022-08-04T09:12:47Z
dc.date.available
2017-06-11T14:25:40Z
dc.date.available
2022-08-04T09:12:47Z
dc.date.issued
2015-03
dc.identifier.other
10.1007/s11067-014-9272-4
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/93999
dc.identifier.doi
10.3929/ethz-b-000093999
dc.description.abstract
In northern Europe, wind energy has become a dominate renewable energy source, due to natural conditions and national support schemes. However, the uncertainty about wind generation affects existing network infrastructure and power production planning of generators, which cannot be fully diminished by wind forecasts. In this paper we develop a stochastic electricity market model to analyze the impact of uncertain wind generation on the different electricity markets as well as network congestion management. Stochastic programming techniques are used to incorporate uncertain wind generation. The technical characteristics of transporting electrical energy as well as power plants are explicitly taken into account. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure reflecting the market regime of European markets. The model is applied to the German electricity system covering one week. Two different approaches of considering uncertain wind generation are analyzed and compared to a deterministic approach. The results reveal that the flexibility of generation dispatch is increased either by using more flexible generation technologies or by operating rather inflexible technologies under part-load conditions.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Electricity markets
en_US
dc.subject
Unit commitment
en_US
dc.subject
Stochasticity
en_US
dc.subject
Renewable energy
en_US
dc.subject
Transmission network
en_US
dc.title
Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2014-12-17
ethz.journal.title
Networks and Spatial Economics
ethz.journal.volume
15
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
117
en_US
ethz.pages.end
147
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.notes
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
004387405
ethz.publication.place
Berlin
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03981 - Rausch, Sebastian (ehemalig) / Rausch, Sebastian (former)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03981 - Rausch, Sebastian (ehemalig) / Rausch, Sebastian (former)
ethz.date.deposited
2017-06-11T14:26:15Z
ethz.source
ECIT
ethz.identifier.importid
imp593652a3774c191924
ethz.ecitpid
pub:147838
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-14T18:17:05Z
ethz.rosetta.lastUpdated
2021-02-14T12:23:50Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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