DATA QUALITY AND AGGREGATION IN POWER SYSTEM DISTRIBUTED SENSOR NETWORKS

Guglielmo Frigo, Marco Agustoni, Federico Grasso Toro

Abstract

In modern power systems, the measurement infrastructure represents the backbone of any monitoring and control application. Indeed, the ever-increasing penetration of renewable energy sources and distributed generation has produced an operating scenario prone to instability and rapid variations. In order to address these challenges, current and voltage phasor measurements are typically acquired at each sensitive network node and then aggregated at local or central level in order to estimate the system state or to take control actions as the opening of a circuit breaker. From a normative point of view, the existing standards focus on the performance compliance of a single sensor, but they do not verify their actual interoperability. In this regard, this paper proposes a minor yet effective amendment to include in the digital format (Ethernet packet) of the measurement result a performance metric to be computed on-line. As proven by the numerical simulations, the proposed metric allows for an improved data aggregation and a more accurate state estimation.

Keywords

Distributed Sensor Network, Measurement Data Aggregation, Interoperability, Power System, Definitional Uncertainty

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IMEKO-TC6-2022-012.pdf

DOI

10.21014/tc6-2022.012

IMEKO TC

TC6 - Digitalization

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