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Voltage Stability Monitoring using Sensitivities Computed from Synchronized Phasor Measurement Data
KTH, School of Electrical Engineering (EES), Electric Power Systems. (SmarTS Lab)
KTH, School of Electrical Engineering (EES), Electric Power Systems. (SmarTS Lab)ORCID iD: 0000-0002-4125-1055
KTH, School of Electrical Engineering (EES), Electric Power Systems. (SmarTS Lab)ORCID iD: 0000-0002-6749-8785
2012 (English)In: Power and Energy Society General Meeting, 2012 IEEE, IEEE , 2012, 6344838- p.Conference paper, Published paper (Refereed)
Abstract [en]

Wide-area early warning systems are dependent on synchrophasor data-based applications for providing timely information to operators so that preventive actions can be taken. This article proposes the use of voltage sensitivities computed from syncrhophasor data for voltage stability monitoring, and a visualization approach that can be implemented in wide-area early warning systems. In order to provide reliable information, synchrophasor data must be pre-processed to extract only the useful features embedded in measurements and correct for errors. Hence, this article also addresses the issue of data filtering and correction, and proposes a filtering methodology for robust voltage sensitivity computation. The methodology is developed considering both positive-sequence simulations for methodology development purposes, and real phasor measurement data from a real-time (RT) hardware-in-the-loop (HIL) laboratory for testing the robustness of the developed approach for use in the control room. The results from both approaches are contrasted against each other, the limitations of the positive-sequence simulation ap- proach for developing PMU-data applications are highlighted and the challenges of working with the RT HIL lab are recognized. 

Place, publisher, year, edition, pages
IEEE , 2012. 6344838- p.
Series
IEEE Power & Energy Society General Meeting : [proceedings], ISSN 1944-9925
Keyword [en]
Wide-Area Voltage Instability Detection, Wide-Area Monitoring Systems, Wide-Area Early Warning Systems, Visualization, PMU-based applications, Filtering
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - Energy
Identifiers
URN: urn:nbn:se:kth:diva-93611DOI: 10.1109/PESGM.2012.6344838ISI: 000312493702010Scopus ID: 2-s2.0-84870600752ISBN: 978-146732727-5 (print)OAI: oai:DiVA.org:kth-93611DiVA: diva2:517159
Conference
2012 IEEE Power and Energy Society General Meeting, PES 2012; San Diego, CA; 22 July 2012 through 26 July 2012
Funder
StandUp, 76106
Note

Invited Paper for the Panel Session: “Wide-Area Early Warning Sys- tems”, IEEE PES General Meeting 2012, San Diego, CA. 

QC 20120425

Available from: 2012-04-21 Created: 2012-04-21 Last updated: 2013-09-03Bibliographically approved

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Vanfretti, Luigi

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