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Experimental real-time testing of a decentralized PMU data-based power systems mode estimator
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0002-6090-1674
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0002-4125-1055
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the results and testing of a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. This work is a continuation of that in [1], which described a decentralized mode estimation architecture that enables the application to better detect local modes whose observability is affected by other more observable modes. The tests in this paper were carried out using an active distribution network (ADN) comprised of a high voltage network connected to a distribution grid including renewable energy resources (RES). The developed application was run in a decentralized architecture where each PMU was associated with its own processing unit which was running the application to estimate modes from the time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with its centralized counterpart.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-202357DOI: 10.1109/PESGM.2017.8274269ISI: 000426921802007PubMedID: 228184Scopus ID: 2-s2.0-85046341859ISBN: 9781538622124 (print)OAI: oai:DiVA.org:kth-202357DiVA, id: diva2:1076028
Conference
2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL
Funder
StandUp
Note

QC 20170519. QC 20191022

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2019-10-22Bibliographically approved

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fulltext(725 kB)101 downloads
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Singh, Ravi ShankarHooshyar, HosseinVanfretti, Luigi

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CiteExportLink to record
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