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

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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.
Original languageEnglish
Title of host publication2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Subtitle of host publicationConference Proceedings
Number of pages6
ISBN (Electronic)978-1-5386-4505-5
ISBN (Print)978-1-5386-4506-2
Publication statusPublished - 2018
Event2018 IEEE PES ISGT Europe: 8th IEEE PES Innovative Smart Grids Technologies Conference Europe - Sarajevo, Bosnia and Herzegovina
Duration: 21 Oct 201825 Oct 2018
Conference number: 8


Conference2018 IEEE PES ISGT Europe
Country/TerritoryBosnia and Herzegovina
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


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


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