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’In silico’ testing of a real-time PMU-based tool for power system mode estimation
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Smart Transmission Systems Lab)ORCID iD: 0000-0003-2353-1683
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Smart Transmission Systems Lab)
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Smart Transmission Systems Lab)ORCID iD: 0000-0002-6044-4813
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2016 (English)In: 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, IEEE Computer Society, 2016, p. 1-5, article id 7741638Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an overview of the software implementation of a real-time mode estimator application and its testing. The application was developed to estimate inter-area modes from both ambient and ring-down synchrophasor data from multiple phasor measurement units (PMU). The software application was implemented in LabVIEW using Statnett’s synchrophasor software development kit (S3DK), to receive real-time synchrophasor measurements. The different features of the application were tested using two types of experiments presented herein. The first experiment is performed using emulated signals from a simple linear model. The second experiment was designed to use a linearized representation of the KTH-Nordic32 power system model. These experiments are used to carry out quantitative analyses of the tool’s performance.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016. p. 1-5, article id 7741638
Series
IEEE Power and Energy Society General Meeting, ISSN 1944-9925
Keywords [en]
Inter-area oscillations, Mode estimation, Phasor measurement units, Synchrophasors
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-199938DOI: 10.1109/PESGM.2016.7741638ISI: 000399937902040Scopus ID: 2-s2.0-85001967782ISBN: 9781509041688 (print)OAI: oai:DiVA.org:kth-199938DiVA, id: diva2:1066851
Conference
2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17 July 2016 through 21 July 2016
Note

QC 20170119

Available from: 2017-01-19 Created: 2017-01-19 Last updated: 2017-06-19Bibliographically approved

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Baudette, MaximeSingh, Ravi ShankarPeric, Vedran S.Vanfretti, Luigi
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CiteExportLink to record
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