Phasor Measurement Units
Phasor Measurement Units (PMUs) perform measurements of synchronized phasors (synchrophasors) and are becoming a key issue of power network monitoring.
The research in this field is focused on both analyzing all the sources that may contribute to the uncertainty introduced by PMUs
(transducers, synchronization system, phasor estimation models either under steady-state or non-steady-state conditions, etc.),
implementing new solutions aimet at increasing the overall robustness of the system and studying the impact of PMUs metrological behavior in some
important applications such as state estimation and voltage stability monitoring.
Measurements for Smart Grids
Monitoring systems are expected to play a major role in the future active distribution grid and the design of a suitable measurement infrastructure
is a critical element for a correct operation of this grid. Besides, it becomes necessary to have reliable methodologies to accurately perform the
state estimation of the network, in order to both optimize the management of the energy sources and implement advanced protection schemes.
Measurements for Power Quality
Any deviation of voltage and current characteristics from sinusoidal, symmetrical conditions and nominal frequency is commonly referred to as a
Power Quality (PQ) issue. Due to several and well-known causes, PQ issues are widely present in the electrical networks and therefore measurements
oriented to assess their origin, to attribute the responsibility for PQ degradation and finally to quantify the degradation itself have great interest
in a competitive market.
Characterization of Voltage and Current Transducers
The voltage and current trasnducers often represent the main source of uncertainty in measurements performed modern electrical power plants,
since the quantities to be measured often include either harmonics or transients. The behaviour of some devices commonly used for voltage and current measurement
is experimentally compared both in low voltage and medium voltage systems, considering either sinusoidal or distorted conditions.
Uncertainty Analysis in DSP-Based Measurements
A numerical approach based on a Monte Carlo probabilistic method is used as an advantageous alternative to the traditional analytical methods for the evaluation
of the uncertainty in measurements achieved by digitally processing sampled input data. Some practical concerns about the reliability of the proposed methodology
are discussed and suitably designed virtual instruments are presented that are able to present the measurement result along with its uncertainty.