An Under Voltage Load Shedding Scheme Based on a Short Term Voltage Instability Detection Method

Conference Paper (2019)
Author(s)

Arun Joseph (TU Delft - Intelligent Electrical Power Grids)

M. Cvetkovic (TU Delft - Intelligent Electrical Power Grids)

P. Palensky (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2019 A. Joseph, M. Cvetkovic, P. Palensky
DOI related publication
https://doi.org/10.1049/cp.2018.1881
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 A. Joseph, M. Cvetkovic, P. Palensky
Research Group
Intelligent Electrical Power Grids
ISBN (print)
['9781785617911', '9781839531330']
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Faster detection of faults, can lead to better and more efficient control of power system against cascading failures triggered by the faults. This article presents a novel detection algorithm using statistical methods for the detection of events that lead to FIDVR. Furthermore we show that the algorithm is computationally efficient and quick enough to provide the control inputs to an UVLS scheme using in-feed PMU data. Thus, it is ensured that the minimal level of load to be shed is determined on-the-fly as the event develops.

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