Locational Accuracy of VIP Indices for Voltage Collapse Margin Estimation

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dc.contributor.authorBegovic, Miroslav
dc.contributor.authorPeerzada, Aaqib
dc.contributor.authorNuqui, Reynaldo
dc.contributor.authorPicone, Benjamin
dc.date.accessioned2017-12-28T01:04:28Z
dc.date.available2017-12-28T01:04:28Z
dc.date.issued2018-01-03
dc.description.abstractNearly two decades of work on VIP (Voltage Instability Prediction) has enhanced the ability to obtain information on system vulnerability to voltage collapse based on minimum local information. Several indices have been developed over the past 20 years for local monitoring of voltage collapse problems, each with a different level of complexity with respect to computational and communicational infrastructure needed. This article addresses the disparity found in the VIP-derived margins and attempts to study the allocation of critical (more accurate) VIP locations across a power network during system changes. Additionally, a sensitivity metric is proposed to track the accurate VIP locations in real-time under increased system loading which could also lead to a meaningful data fusion of the more accurate VIP-derived margins.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.332
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50220
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMonitoring, Control, and Protection
dc.subjectPower system voltage stability, smart grid stability monitoring, VIP indicators, sensor fusion.
dc.titleLocational Accuracy of VIP Indices for Voltage Collapse Margin Estimation
dc.typeConference Paper
dc.type.dcmiText

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