Litcius/Paper detail

Tracking power system events with accuracy-based PMU adaptive reporting rate

Guglielmo Frigo, Paolo Attilio Pegoraro, Sergio Toscani

2023International Journal of Electrical Power & Energy Systems19 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceScalabilityPhasorReal-time computingElectric power systemUnits of measurementRenewable energyPhasor measurement unitData miningReliability engineeringPower (physics)EngineeringQuantum mechanicsElectrical engineeringDatabasePhysicsPower System Optimization and StabilitySmart Grid Security and ResiliencePower Systems Fault Detection