Change search
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
Improving the Accuracy of Second-Order Cone AC Optimal Power Flow by Convex Approximations
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0003-0471-9066
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.
2018 (English)In: International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 172-177Conference paper, Published paper (Refereed)
Abstract [en]

We propose three convex approximation methods to improve the performance of second-order cone AC optimal power flow (SOC-ACOPF) model. These methods are formulated in the proposed SOC-ACOPF models, correspondingly, ConicLA, ConicRe, and ConicTA. The principle is to drop the original assumptions of the SOC-ACOPF model by using improved approximation methods. The nonconvex constraints in ACOPF are expressed by using quadratic equivalence. These quadratic constraints are then approximated in two different ways: ConicLA uses controllable tangent lines as linear approximations; ConicRe uses rotated cones. Furthermore, the assumption of small voltage phase angle difference (along each line) which is used in many power flow models is dropped in the ConicTA model. ConicTA approximates sinusoidal function by its expanded Taylor series and then re-applies approximation methods developed in ConicLA and ConicRe. The advantages of our approximation methods are that the proposed SOC-ACOPF models are convex and more accurate. Using Power System Analysis Toolbox (PSAT) as the benchmark, numerical results from various IEEE test cases show that our models outperform the original SOC-ACOPF model prominently especially for power distribution networks.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. p. 172-177
Keywords [en]
Conic relaxation, Linear approximation, Optimal power flow, Taylor expansion, Acoustic generators, Approximation theory, Electric power transmission networks, Smart power grids, Taylor series, Convex approximation methods, Linear approximations, Non-convex constraints, Optimal power flows, Power distribution network, Taylor expansions, Voltage phase angle difference, Electric load flow
National Category
Environmental Engineering
Identifiers
URN: urn:nbn:se:kth:diva-247179DOI: 10.1109/ISGT-Asia.2018.8467928Scopus ID: 2-s2.0-85055554975ISBN: 9781538642917 (print)OAI: oai:DiVA.org:kth-247179DiVA, id: diva2:1313928
Conference
2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018, 22 May 2018 through 25 May 2018
Note

QC 20190507

Available from: 2019-05-07 Created: 2019-05-07 Last updated: 2019-05-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Yuan, ZhaoHesamzadeh, Mohammad Reza

Search in DiVA

By author/editor
Yuan, ZhaoHesamzadeh, Mohammad Reza
By organisation
Electric Power and Energy Systems
Environmental Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 4 hits
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