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.
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