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Locational Accuracy of VIP Indices for Voltage Collapse Margin Estimation

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Title: Locational Accuracy of VIP Indices for Voltage Collapse Margin Estimation
Authors: Begovic, Miroslav
Peerzada, Aaqib
Nuqui, Reynaldo
Picone, Benjamin
Keywords: Monitoring, Control, and Protection
Power system voltage stability, smart grid stability monitoring, VIP indicators, sensor fusion.
Issue Date: 03 Jan 2018
Abstract: Nearly 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.
Pages/Duration: 10 pages
ISBN: 978-0-9981331-1-9
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Monitoring, Control, and Protection

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