Prediction of Short-Term Voltage Instability Using a Digital Faster Than Real-Time Replica

Conference paper (2018)

Authors

A. Joseph Intelligent Electrical Power Grids - EEMCS
M. Cvetkovic Intelligent Electrical Power Grids - EEMCS
P. Palensky Intelligent Electrical Power Grids - EEMCS
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
Copyright: © 2018 A. Joseph, M. Cvetkovic, P. Palensky
DOI: https://doi.org/10.1109/IECON.2018.8592818
Fault Induced Dynamic Voltage Recovery (FIDVR) Phasor Measurement Unit (PMU) Short-Term Voltage Instability (STVI) Voltage Stability Indices (VSI) Faster Than Real-Time Digital Replica (FTRTDR) Transient Voltage Deviation Index (TVDI)
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Published Date

2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

Predictive analysis of post fault system dynamic behavior can be a vital resource for better control and reliability improvement of the overall system. This article presents methods for predictive analysis of Fault Induced Dynamic Voltage Recovery (FIDVR) event using a faster than real-time digital replica of a power system. The methods proposed include use of quick algorithms for detection of FIDVR events and metrics for predicting dynamic behavior of the power system impacted by the detected FIDVR event. We show that, using a digital faster than real-time replica, the FIDVR event can be detected in required time and that the transient voltage deviation index (TVDI) can be quickly calculated.