  Fast dynamics and transient events are becoming more and more frequent in
power systems, due to the high penetration of renewable energy sources and the
consequent lack of inertia. In this scenario, Phasor Measurement Units (PMUs)
are expected to track the monitored quantities. Such functionality is related
not only to the PMU accuracy (as per the IEC/IEEE 60255-118-1 standard) but
also to the PMU reporting rate (RR). High RRs allow tracking fast dynamics, but
produce many redundant measurement data in normal conditions. In view of an
effective tradeoff, the present paper proposes an adaptive RR mechanism based
on a real-time selection of the measurements, with the target of preserving the
information content while reducing the data rate. The proposed method has been
tested considering real-world datasets and applied to four different PMU
algorithms. The results prove the method effectiveness in reducing the average
data throughput as well as its scalability at PMU concentrator or storage
level.
