Loredana Cristaldi

Dr. Loredana Cristaldi


Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 December 2002 in IEEE Transactions on Instrumentation and Measurement
Verified
Journal Article
Closed access
LCLoredana Cristaldi
Loredana Cristaldi
AFAlessandro Ferrero
Alessandro Ferrero
Simona SaliconeSimona Salicone
Simona Salicone
The problem of evaluating power-quality is becoming an impelling need due to the proliferation of disturbing loads in the electric power systems. Unfortunately, the identification of the sources disturbing the system cannot generally be achieved by means of measurements in a single metering section of the electric network. This paper proposes a distributed measuring system to monitor a number of power-quality indices on every load connected to the same point of common coupling, to transmit the measured values to a master device that processes them in order to locate the sources of unbalance and harmonic distortion and to quantify the effects of such disturbances on power quality. The results of some experimental work performed on a low-voltage network are also reported.

28 August 2013 in IEEE Transactions on Instrumentation and Measurement
Verified
Journal Article
Closed access
LCLoredana Cristaldi
Loredana Cristaldi
Marco FaiferMarco Faifer
Marco Faifer
MRMarco Rossi
Marco Rossi
Sergio ToscaniSergio Toscani
Sergio Toscani
It is well known that in a photovoltaic (PV) plant, the modules are connected to switch-mode power converters to enhance the power output in every environmental condition. This task is performed by the maximum power point tracker (MPPT), which provides a current or voltage reference to the converter. Traditional perturb and observe or incremental conductance algorithms are not efficient in rapidly changing conditions, whereas a model-based (MB) MPPT offers a better dynamic performance. Because it is relatively easy to obtain an accurate model of a single PV panel, thus predicting the maximum power point voltage for given environmental conditions, MB MPPTs seemed to be attractive for employing in module integrated converters. Conventional MB MPPT algorithms, however, usually require an expensive pyranometer to properly operate. In this paper, starting from a new set of equations modeling a PV module, a novel MB MPPT technique, which does not require the direct measurement of the solar radiation, is proposed and experimentally validated.

1 June 1995 in IEEE Transactions on Instrumentation and Measurement
Verified
Journal Article
Closed access
LCLoredana Cristaldi
Loredana Cristaldi
AFAlessandro Ferrero
Alessandro Ferrero

1 June 2012 in IEEE Transactions on Instrumentation and Measurement
Verified
Journal Article
Closed access
LCLoredana Cristaldi
Loredana Cristaldi
Marco FaiferMarco Faifer
Marco Faifer
MRMarco Rossi
Marco Rossi
Ferdinanda PonciFerdinanda Ponci
Ferdinanda Ponci
The growing number of installed photovoltaic (PV) plants is making the simulation of their behavior and their effects on the power network more and more relevant. In this context, an accurate yet simple model of the panels is beneficial for evaluating the power production as well as the system efficiency in off-line and on-line analysis. In the preliminary design stages of large plants, this kind of model can support design and decision making, allowing for the simulation of the entire plant and the testing of various power architectures. During the operation, such models may support monitoring, diagnostic, and control functions. In this paper, a model of PV panel, suitable for the aforementioned applications, is presented together with a simple procedure for the identification of its parameters. The critical issues related to the measurement and the estimation of the required environmental quantities are analyzed together with their main metrological requirements. Finally, the experimental validation of the proposed model and algorithms is presented using as a case study the estimation of the energy production of a domestic solar plant.

1 October 2001 in IEEE Transactions on Instrumentation and Measurement
Verified
Journal Article
Closed access
LCLoredana Cristaldi
Loredana Cristaldi
AFAlessandro Ferrero
Alessandro Ferrero
MLMassimo Lazzaroni
Massimo Lazzaroni
Roberto OttoboniRoberto Ottoboni
Roberto Ottoboni
The need for high-current transducers featuring wide-band and high-insulation levels is becoming a more and more impelling need in the electric power network, as the current distortion increases due to the proliferation of nonlinear, time-variant loads. The closed-loop Hall-effect current transducers show a good compromise between cost and metrological performance. On the other hand, they may introduce an unacceptable nonlinearity error when the dynamic range of the input current is a reduced portion of the dynamic range of the transducer and may show a large drift of their gain with temperature. The paper proposes a simple method for reduction of the nonlinearity error when the input signal is an unbiased sinewave and the automatic calibration of the gain. Experimental results are also reported, showing the method effectiveness.

24 May 2024 in Sensors
Verified
Journal Article
Open access
PDF file
Gabriele PatriziGabriele Patrizi
Gabriele Patrizi
LMLuca Martiri
Luca Martiri
APAntonio Pievatolo
Antonio Pievatolo
Alessandro MagriniAlessandro Magrini
Alessandro Magrini
GMGiovanni Meccariello
Giovanni Meccariello
NNNedka Dechkova Nikiforova
Nedka Dechkova Nikiforova
We present a novel decision-making framework for accelerated degradation tests and predictive maintenance that exploits prior knowledge and experimental data on the system’s state. As a framework for sequential decision making in these areas, dynamic programming and reinforcement learning are considered, along with data-driven degradation learning when necessary. Furthermore, we illustrate both stochastic and machine learning degradation models, which are integrated in the framework, using data-driven methods. These methods are presented as a valuable tool for designing life-testing experiments and for maintaining lithium-ion batteries.