The increasing penetration of renewable energy sources make modern power systems more prone to fast dynamics and system contingencies. In this scenario, Phasor Measurement Units (PMUs) are required not only to provide a snapshot of the system state at a given reporting time instant, but also to track the time evolution. This capability does not depend uniquely on the accuracy of the synchrophasor estimation algorithm, but more generally on the configuration of the PMU itself and how data is employed. In this context, the paper investigates the potential advantages and the open issues of PMU-based dynamic tracking using real-world datasets, discussing how different algorithms and reporting rates affect the overall results.

Tracking Power Systems Events: PMU, Reporting Rate, Interpolation

Pegoraro P. A.;
2022-01-01

Abstract

The increasing penetration of renewable energy sources make modern power systems more prone to fast dynamics and system contingencies. In this scenario, Phasor Measurement Units (PMUs) are required not only to provide a snapshot of the system state at a given reporting time instant, but also to track the time evolution. This capability does not depend uniquely on the accuracy of the synchrophasor estimation algorithm, but more generally on the configuration of the PMU itself and how data is employed. In this context, the paper investigates the potential advantages and the open issues of PMU-based dynamic tracking using real-world datasets, discussing how different algorithms and reporting rates affect the overall results.
2022
978-1-6654-9823-4
Dynamic tracking
Performance assessment
Phasor Measurement Unit
Power system dynamics
Real-word waveforms
Synchrophasor estimation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/345368
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