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

Conference paper (2018)

Authors

A. Joseph Intelligent Electrical Power Grids -

M. Cvetkovic Intelligent Electrical Power Grids -

P. Palensky Intelligent Electrical Power Grids -

Research Group

Intelligent Electrical Power Grids () (TU Delft)

DOI: https://doi.org/10.1109/ISGTEurope.2018.8571803

Faster than Real-Time Simulation Fault Induced Dynamic Voltage Recovery (FIDVR) Composite Load Model (CLM) Under Voltage Load Shedding (UVLS)

More Info

expand_more

To reference this document use:

http://resolver.tudelft.nl/uuid:10f3edc2-85b9-4884-9889-5b00a3f50328

Published Date

2018

Language

English

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.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

Predictive mitigation of undesired events has long been seen as a supportive complement to corrective mitigation that could relax the stringent requirements on the corrective
actions and increase reliability of the overall system. This article describes one such predictive measure, i.e. the use of faster than real-time simulation in detecting faults and predicting the dynamic behavior for the resilient operation of future smart grid systems. A predictive mitigation strategy is proposed for a fault induced dynamic voltage recovery (FIDVR) event. These events, although rare, are typically addressed with under voltage load shedding schemes (UVLS) which leave significant portion of load
under-supplied. We show that, by using the digital faster than real-time replica, the minimal level of UVLS can be determined on-the fly as the event develops while ensuring only the minimal amount of load shed.

Files

265.pdf

(.pdf | 0.461 Mb)