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Optimal transmission access for generators in wind-integrated power systems: stochastic and robust programming approaches
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Electricity Market Research Group)
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Electricity Market Research Group)
2017 (English)In: IET Generation, Transmission & Distribution, ISSN 1751-8687, E-ISSN 1751-8695, Vol. 11, no 6, 1345-1359 p.Article in journal (Refereed) Published
Abstract [en]

Integrating wind generation in power systems has raised the issue of optimal transmission access for generators. The available transmission capacity for a generator is now subject to the uncertain wind generation. Therefore, the need for a transmission access mechanism has emerged. This study proposes three different optimisation models for calculating transmission access under uncertain wind generation. First, it develops a mathematical model to find the expected transmission access. A chance-constrained optimisation model is derived to find different levels of access to the transmission network with pre-specified reliability levels. The chance-constrained model provides detailed information regarding the available transmission access at different reliability levels. This gives options to a connecting generator regarding its choice of transmission access. Finally, a robust model for transmission access is proposed. The robust model provides the conservative transmission access which is assured against all future realisations of wind generation. The proposed expected, chance-constrained and robust approaches for optimal transmission access are numerically studied using an illustrative 2-bus example and the IEEE 30-bus and IEEE 300-bus case studies. The moment-matching technique is used to generate wind and demand scenarios. The numerical results show the utility of three derived models to calculate the optimal transmission access for generators.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2017. Vol. 11, no 6, 1345-1359 p.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-209319DOI: 10.1049/iet-gtd.2016.0041ISI: 000401931500002ScopusID: 2-s2.0-85019923652OAI: oai:DiVA.org:kth-209319DiVA: diva2:1111464
Note

QC 20170619

Available from: 2017-06-19 Created: 2017-06-19 Last updated: 2017-06-19Bibliographically approved

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Uzuncan, EzgiHesamzadeh, Mohammad Reza
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf