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Joint causal and anti-causal segmentation and location of transitions in power disturbances
Chalmers University of Technology, Department of Signals and Systems.
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
2010 (English)In: 2010 IEEE Power and Energy Society General Meeting, Piscataway, NJ: IEEE Communications Society, 2010Conference paper, Published paper (Refereed)
Abstract [en]

An important step in power disturbance data analysis is to first partition the disturbance sequence into transition and event segments. One main contribution of the paper is the propose of a new segmentation scheme that jointly uses the causal and anti-causal segmentation. We show that the actual location of a trigger point can be accurately estimated by combining the causal and anti-causal transition segments. Another main contribution is a new method for setting the threshold of detection parameter. From the residuals of Kalman filter, a detection parameter is defined and the threshold for this parameter is computed based on pdf estimates and hypothesis tests on measurement sequences with/without disturbances. Using the proposed segmentation and the statistically-based threshold, we show that transition segments, especially the trigger points, are allocated more accurately. Tests are performed on semi-synthetic disturbance sequences containing step, ramp and multi-stage transition. The proposed method is shown to be able to locate fast transitions with very high accuracy. The performance of segmentation against the point on wave, depth of transition, speed of transition, and polluted noise level are also evaluated.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2010.
Series
IEEE Power & Energy Society General Meeting
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-30569DOI: 10.1109/PES.2010.5588103Scopus ID: 2-s2.0-78649580515Local ID: 46b95560-0789-11e0-b767-000ea68e967bISBN: 978-1-4244-6549-1 (print)ISBN: 978-1-4244-8357-0 (electronic)OAI: oai:DiVA.org:ltu-30569DiVA, id: diva2:1003797
Conference
IEEE Power & Energy Society 2010 General Meeting : 25/07/2010 - 29/07/2010
Note
Validerad; 2010; 20110315 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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CiteExportLink to record
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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Output format
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