Ing Ind - Inf (Mag.)(ord. 270) - MI (475) ELECTRICAL ENGINEERING - INGEGNERIA ELETTRICA
052570 - SMART MEASUREMENT ARCHITECTURES FOR ELECTRIC SYSTEMS
The course aims to provide a deep understanding of how to develop measurement methods and techniques, based on intelligent instruments, to monitor and control the modern electric power systems, in a smart-grid scenario. These methods and instruments have become more and more necessary nowadays, in the new smart-grid scenario. It is therefore important that the students have a deep knowledge of both the measurements theoretical basis and the modern measurement equipment.
The subject is organized in theoretical lessons, practical lessons and laboratories.
The theoretical lessons will provide the students the necessary theoretical knowledge in the field of measurement and modern instrumentation based on DSP. The practical lessons will show the students numerical exercises, involving the provided theoretical knowledge. The practical laboratories will show the students practical applications of the theoretical concepts learnt in the theoretical lessons. In the practical laboratories students are divided into groups of 3-5 students each. Each group works on a table equipped with a DSP system, and ADC board and Lab VIEW software, on which the measurement methods learned during the theoretical classes can be developed. The students will realize virtual instruments and distributed measurement instruments, starting from the acquisition of real voltage signals.
Risultati di apprendimento attesi
EXPECTED LEARNING OUTCOMES
The course “SMART MEASUREMENT ARCHITECTURES FOR ELECTRIC SYSTEMS” will allow the students to know (DdD1):
the modern scenario of the electricity market (the smart-grid scenario);
the measurement techniques applicable in the smart-grid scenario (DSP techniques);
the theoretical fundamentals of the DSP techniques, that is the sampling theorem and the correlated topics, such as the aliasing problem, the leakage errors, the observation interval, the windowing techniques and so on;
the DSP measurement systems and architectures;
the distributed measuring systems and the related topics, such as the time synchronization;
the available methods for time synchronization (the GPS system and the net protocols).
The practical lessons of the course will allow the students to (DdD2):
apply the theoretical fundamentals of DSP techniques to practical examples;
understand and comment the results of a measurement obtained with DSP techniques.
The laboratories of the course will allow the students to (DdD2 and DdD4):
know the Labview software for the realization of virtual instruments;
program with Labview;
know in depth how the sampling parameters (sampling frequency, observation interval, observation window and so on) affect the measurement results;
know from a practical point of view the importance of time synchronization.
Introduction and perspectives. Introduction to the modern electric system (distributed measurement systems, smart grid …) and the necessity of the DSP measurement techniques to monitor and control them. The characteristics of the DSP measurement systems and the motivations for which they are particularly suitable to monitor and control the modern electric systems.
Signal sampling. The signal sampling. The sampling theorem. The aliasing and the techniques to avoid it. The periodic signal sampling. The synchronous condition. The errors introduced by a non-coherent sampling (the leakage errors). The methods for the mitigation of the spectral leakage errors and the observation windows.
Architectures. The analog to digital conversion. The description of the digital voltmeters (DVM) and the analog-to-digital converters (ADC), considering also their characteristics from the metrological point of view. Sample and Hold devices. Study of the measurement architectures for the digital signal processing (microprocessors, digital signal processors, dedicated hardware structures).
Virtual instruments and distributed measurement instruments. The description of the virtual instruments: architectures, software architectures, graphical programming languages (LABVIEW). The description of the distributed instruments: LAN and WAN architectures. The importance of time sunchronization. The satellite synchronization systems. GPS, GLONASS, GALILEO.
Measurements of the power electric system parameters. Spectrum analyzers. Power analyzers, phasor measurement units (PMU).
Students are required to know the Fourier theory: Fourier series and Fourier transform.
Modalità di valutazione
After the end of the course, students participate to one of the available final examinations.
The final examination consists on a written part and an oral part.
The written part is a numerical exercise aimed to verify if the students have understood how the sampling of a continuous signal modifies the information of the signal itself (DdD1 and DdD2).
Only students who correctly solve the numerical exercise are admitted to the oral part.
The oral part generally consists in 2 or 3 questions on all the topics covered by the course. Students should demonstrate full comprehension of the subjects and the usage of the appropriate technical language (DdD1 and DdD4).
Gabriele D'Antona, Alessandro Ferrero, Digital Signal Processing for Measurement Systems - Theory and Applications, Editore: Springer, ISBN: 0-387-24966-4
Tipo Forma Didattica
Ore di attività svolte in aula
Ore di studio autonome
Laboratorio Di Progetto
Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese