Mitigation of Motor Stalling and FIDVR via Energy Storage Systems with Signal Temporal Logic

Byungkwon Park, Mohammed M. Olama

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The fault-induced delayed voltage recovery (FIDVR) phenomenon has been very common from the distribution system through the transmission system. It causes a delay on recovering significantly depressed local voltage after the fault is cleared, and it can also lead to more widespread cascading system failures. Mitigating this event with current control approaches is challenging and becoming a crucial issue. In this paper, a model predictive control-based strategy employing signal temporal logic specifications is proposed to help mitigate FIDVR. To this end, it investigates and extends a dynamic performance model allowing analytic insights into the system-wide impact of motor stalling and FIDVR. The proposed controller provides richer descriptions of voltage specifications addressing both magnitude and time simultaneously. We consider different control specifications with reactive power support from energy storage systems to prevent the voltage during/after the fault from dropping too low, and reduce the delay time of voltage recovery. The simulation results conducted with the IEEE 57 bus test network validate the proposed method and demonstrate the effectiveness of the mitigation strategy on FIDVR.

Original languageEnglish
Article number9159628
Pages (from-to)1164-1174
Number of pages11
JournalIEEE Transactions on Power Systems
Volume36
Issue number2
DOIs
StatePublished - Mar 2021

Funding

The authors wish to thank the editor and the anonymous reviewers for providing valuable feedbacks on this work. This research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

FundersFunder number
U.S. Department of EnergyDE-AC05-00OR22725
Oak Ridge National Laboratory
UT-Battelle

    Keywords

    • Fault-induced delayed voltage recovery
    • model predictive control
    • motor stalling
    • numerical optimal control
    • signal temporal logic specifications

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