Location
Hilton Waikoloa Village, Hawaii
Event Website
http://hicss.hawaii.edu/
Start Date
1-3-2018
End Date
1-6-2018
Description
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.
Locational Accuracy of VIP Indices for Voltage Collapse Margin Estimation
Hilton Waikoloa Village, Hawaii
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.
https://aisel.aisnet.org/hicss-51/es/monitoring/4