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
Optimal PMU placement for power system ambient data-based mode estimation applications
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
2017 (English)In: IEEE PES Innovative Smart Grid Technologies Conference Europe, IEEE Computer Society, 2017, 7856239Conference paper (Refereed)
Abstract [en]

This paper proposes a method for optimal PMU placement for ambient data-based mode estimation. In contrast to traditional methods for PMU placement where the main objective is to maximize observability of the system, the proposed method uses the critical inter-area mode estimation accuracy as the criterion for siting and ranking PMU locations and signals. The criterion is defined as the critical mode's damping ratio estimation variance. First, this criterion is computed for all signals, and next signal locations are ranked accordingly. Finally, the signal with the lowest criterion value represents the best location for a PMU. Two methods for computing the criterion are presented: 1) Monte Carlo simulation and 2) an approximate expression for the estimation covariance matrix. Furthermore, the paper discusses the possibility of combining two or more synchrophasor signals in order to improve the accuracy of the estimate. The application of the proposed methods is demonstrated using the KTH Nordic 32 test system.

Place, publisher, year, edition, pages
IEEE Computer Society, 2017. 7856239
Keyword [en]
Mode estimation, mode meter, PMU placement, prediction error
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-208110DOI: 10.1109/ISGTEurope.2016.7856239ScopusID: 2-s2.0-85017550360ISBN: 9781509033584 (print)OAI: oai:DiVA.org:kth-208110DiVA: diva2:1106209
Conference
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016, Ljubljana, Slovenia, 9 October 2016 through 12 October 2016
Note

QC 20170607

Available from: 2017-06-07 Created: 2017-06-07 Last updated: 2017-06-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Vanfretti, Luigi
By organisation
Electric Power and Energy Systems
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

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