Nodal Pricing Comparison between DCOPF and ACOPF: Case Studies for the Power Systems in Iceland and Germany

Peiyao Guo*, Vedran S. Peric, Zhao Yuan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper considers the nodal pricing comparison between using the direct current optimal power flow (DCOPF) and the alternative current optimal power flow (ACOPF) models. Two case studies for Iceland and Germany are conducted to illustrate the pricing differences for various load and network congestion scenarios. We also demonstrate the statistical probability distributions of the nodal prices using DCOPF and ACOPF under the considered scenarios. For the case study in Iceland, we use a representative transmission network with 108 nodes, 31 generators and 123 transmission lines. For the case study in Germany, there are 231 nodes, 82 generators and 304 transmission lines. The numerical results show that there can be significant nodal price differences between DCOPF and ACOPF when the power loads are heavy or the power networks are congested. The statistical probability distribution of the nodal prices also show prominent differences for both Iceland and Germany when the power networks are heavily congested.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022
EditorsEhsan Pashajavid, Dowon Kim, Sumedha Rajakaruna, Ahmed Abu-Siada
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665485227
DOIs
Publication statusPublished - 2022
Event4th IEEE Sustainable Power and Energy Conference, iSPEC 2022 - Virtual, Online, Australia
Duration: 4 Dec 20227 Dec 2022

Publication series

NameProceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022

Conference

Conference4th IEEE Sustainable Power and Energy Conference, iSPEC 2022
Country/TerritoryAustralia
CityVirtual, Online
Period4/12/227/12/22

Bibliographical note

Funding Information:
The work of Peiyao Guo was supported by the scholarship from China Scholarship Council (No. 202006250030). The work of Vedran S. Perić was supported by Deutsche Forschungsgemeinschaft (DFG) through the project “Optimal Operation of Integrated Low-Temperature Birdirectional Heat and Electric Grids(IntElHeat)” under Project number 450821044. The work of Zhao Yuan is supported by the University of Iceland through the project ”Security Assessment and Enhancement of the Electrical Power System in Iceland”.

Publisher Copyright:
© 2022 IEEE.

Other keywords

  • electricity market
  • Germany
  • Iceland
  • nodal pricing
  • power flow

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