- Docente: Roberto Tinarelli
- Credits: 9
- SSD: ING-INF/07
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Electrical Energy Engineering (cod. 9066)
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from Sep 15, 2022 to Dec 20, 2022
Learning outcomes
The course provides the fundamentals of signal theory, the architecture of electronic instruments used in power systems and the methodologies for the evaluation of measurement uncertainty in such applications. At the end of the course students are able: to evaluate the propagation of uncertainty through complex measurement algorithms such as those implemented in the Smart Grids; to choose the sensors to be used in power system applications according to the kind of measurement functions required; to condition the output of such sensors; to correctly set the data acquisition system; to analyze the collected data in time domain as well as frequency domain.
Course contents
Part I: signals analysis
- Signals and systems
- Linear time-invariant systems
- Fourier series representation of periodic signals
- Continuous-time Fourier transform
- Discrete-time Fourier transform
- Time and frequency characterization of signals and systems
- Sampling
- The z-transform
- Digital filter
Part II: PMU and distributed measurement systems
- Basic concepts and definitions
- Algorithm
- Sensors
- Architecture
- International standards
- Applications
Readings/Bibliography
Suggested books
- Oppenheim, Willsky, "Signals and systems", Prentice Hall
- Monti, Ponci, Muscas, "Phasor measurement units and wide area monitoring systems", Elsevier.
Teaching methods
Lectures and laboratory exercises
Assessment methods
Oral exam, with numeric exercise
Teaching tools
Slides available at virtuale.unibo.it
Office hours
See the website of Roberto Tinarelli