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
A method to evaluate harmonic model-based estimations under non-white measured noise
Chalmers University of Technology, Department of Signals and Systems.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
Chalmers University of Technology, Department of Signals and Systems.
2011 (English)In: 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011; Trondheim; 19 June 2011 through 23 June 2011, Piscataway, NJ: IEEE Communications Society, 2011Conference paper, Published paper (Refereed)
Abstract [en]

Automatic extracting information from power-system event recordings requires applications of signal-processing estimation techniques whose performance has been verified under white noise. This paper proposes a method to test these techniques under real power-system noise, which is very different from white noise, to evaluate their application feasibility. The first part of the paper describes the evaluation method used to evaluate the techniques in a statistical sense and a method to extract noise from measured power-system recordings. The second part of the paper focuses on the evaluation of a number of harmonic model-based techniques under non-white noise, including: Kalman filter, MUSIC, ESPRIT, and segmentation algorithms. The paper shows that for the Kalman filter, a very high order with high computational burden is necessary only if high frequency components are of interest. The application of MUSIC, ESPRIT, and the segmentation algorithms under natural power-system noise is shown to be feasible.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Engineering
Research subject
Electric Power Engineering; Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-32154DOI: 10.1109/PTC.2011.6019212Scopus ID: 2-s2.0-80053352190Local ID: 68baf23f-f532-4e1d-a0f0-2fe312d5c13aISBN: 978-1-4244-8419-5 (print)ISBN: 978-1-4244-8417-1 (print)OAI: oai:DiVA.org:ltu-32154DiVA, id: diva2:1005388
Conference
IEEE PES Trondheim PowerTech : 19/06/2011 - 23/06/2011
Note
Godkänd; 2011; Bibliografisk uppgift: Article number 6019212 ; 20110627 (matbol)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopushttp://ewh.ieee.org/conf/powertech/2011/

Authority records BETA

Bollen, Math

Search in DiVA

By author/editor
Bollen, Math
By organisation
Energy Science
Other Electrical Engineering, Electronic Engineering, Information EngineeringEnergy Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 15 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