Prof. Marco Faifer
DEIB, Politecnico di Milano, Milan, Lombardy, Italy
Associate professor
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Academic Career Length
23Years (2004-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications28 August 2013 in IEEE Transactions on Instrumentation and Measurement
Journal Article
LCLoredana Cristaldi
Loredana CristaldiMarco FaiferMRMarco Rossi
Marco Rossi
Sergio ToscaniIt 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.
12 October 2011 in Materials and Structures
Journal Article
15 April 2019 in IEEE Transactions on Instrumentation and Measurement
Journal Article
Marco Faifer
Christian Laurano
Roberto OttoboniSergio Toscani
Michele ZanoniMonitoring voltage harmonics represents one of the most important tasks in power quality assessment. In particular, the employed instrument transformer plays a key role in the achieved accuracy. Its harmonic measurement performance is typically evaluated by measuring its frequency response function. However, nonlinearities may have a nonnegligible impact on measurement uncertainty; for example, this occurs as far as the inductive voltage transformers are considered. This paper proposes a simple technique allowing the compensation of the most significant nonlinear effect that is the harmonic distortion produced by the large fundamental primary voltage. The method is first derived and introduced by means of numerical simulations and then implemented through a proper experimental setup. Results highlight remarkable accuracy improvements when realistic voltage waveforms are measured.
1 June 2012 in IEEE Transactions on Instrumentation and Measurement
Journal Article
LCLoredana Cristaldi
Loredana CristaldiMarco FaiferMRMarco Rossi
Marco Rossi
Ferdinanda PonciThe 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.
29 March 2018 in IEEE Transactions on Instrumentation and Measurement
Journal Article
Marco FaiferChristian LauranoRoberto OttoboniSergio ToscaniMichele ZanoniVoltage instrument transformers are usually tested at the rated frequency. In order to assess their performance in measuring harmonic components, typically, the frequency response function (FRF) is evaluated. Therefore, this conventional characterization does not consider nonlinear effects that may have a nonnegligible impact on the accuracy, especially when the transducer under test is represented by an inductive voltage transformer (VT). In this paper, a simple procedure for the characterization of voltage instrument transformers is presented. The method is based on the concept of best linear approximation of a nonlinear system. It requires applying a class of excitation signals that resembles the typical voltage waveforms found in power systems. Results consist of the FRF that permits the best linear compensation of the transducer response, and sample variances that allow quantifying the impact of noise and nonlinearities on the accuracy. The method is presented and explained by means of numerical simulations. After that, it has been applied to the characterization of a conventional inductive VT. Experimental results show how the accuracy of the transducer under test is heavily degraded by nonlinear phenomena when low-order voltage harmonics are considered.
1 March 2015 in Measurement
Journal Article
MLMassimo Lazzaroni
Massimo LazzaroniSFStefano Ferrari
Stefano FerrariVPVincenzo Piuri
Vincenzo Piuri
ASAyşe Salman
Ayşe SalmanLCLoredana Cristaldi
Loredana CristaldiMarco FaiferAbout Me
Marco Faifer received the M.Sc. degree in electronic engineering in 2003 and the Ph.D. degree in electrical engineering, in 2009 both from Politecnico di Milano.
He is currently associate professor in electrical and electronic measurements with the Dipartimento Elettronica, Informazione e Bioingegneria, Politecnico di Milano. His scientific activity is mainly concerned with DSP techniques and the development of industrial sensors and devices for measurement on electric systems. Moreover, he develops measurement algorithms for the characterization of electrical components and materials. He also works in the field of diagnosis for electrical devices. He is Senior Member of the IEEE, member of the Instrumentation and Measurement Society of IEEE. He has been part of the technical program committees of the several IEEE conferences among which I2MTC and he is member of TPC of IMEKO TC10. He is member of the steering committee of IEEE ICCEP. He is Associate Editor of the journal "IEEE Transactions on Instrumentation and Measurement" and "Energies". From academic year 2012-2013 he has taught the course "Measurement systems for industry 4.0” of the Master of Science degree in Electrical Engineering at the Politecnico di Milano. From 2013 to 2017 he was member of the faculty board of the PhD in Electrical Engineering at Politecnico di Milano.