Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10663
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dc.contributor.authorSaunders, CS-
dc.contributor.authorAlamuti, MM-
dc.contributor.authorTaylor, GA-
dc.coverage.spatialNational Harbor, MD-
dc.coverage.spatialNational Harbor, MD-
dc.date.accessioned2015-04-27T15:24:25Z-
dc.date.available2014-01-01-
dc.date.available2015-04-27T15:24:25Z-
dc.date.issued2014-
dc.identifier.citation2014 IEEE PES General Meeting - Conference & Exposition: 1 - 5, National Harbor, MD, (27-31 July 2014)en_US
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6939235&tag=1-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/10663-
dc.description.abstractIn this paper, we propose the enhancement of existing power system stability analysis techniques through the use of a proposed set of potential energy indices, applied for observing the separation of generators into critical sets during transient events. This proposed potential-energy-based description of system transient stability behavior permits the formation of a critical generator cutset, which is then used in a quantitative single machine equivalent (SIME) energy-function analysis of system stability. The derivation of the method will show that the proposed potential energy indices do not rely on a detailed representation of the network model, making the indices suitable for use in a variety of applications. This method enhances the current capabilities of SIME analysis for pre-fault offline stability studies, but may also be useful for near-real-time stability analysis, owing to the lack of dependence of the proposed potential energy indices on the network parameters. The ability to utilize the proposed indices without the need for network parameters or fault location information, typically obtained from updated SCADA data, potentially allows the proposed method to be applied for real-time stability analysis utilizing only PMU input data.en_US
dc.format.extent? - ? (5)-
dc.format.extent? - ? (5)-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.sourceIEEE PES General Meeting-
dc.sourceIEEE PES General Meeting-
dc.subjectPower system transient stabilityen_US
dc.subjectPotential energy indicesen_US
dc.subjectTransient analysisen_US
dc.subjectStability criteriaen_US
dc.titleTransient stability analysis using potential energy indices for determining critical generator setsen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1109/PESGM.2014.6939235-
dc.relation.isPartOf2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION-
dc.relation.isPartOf2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION-
pubs.finish-date2014-07-31-
pubs.finish-date2014-07-31-
pubs.publication-statusPublished-
pubs.publication-statusPublished-
pubs.start-date2014-07-27-
pubs.start-date2014-07-27-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures/Smart Power Networks-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology-
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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