OVERVIEW

The course provides an introduction to electrical power systems, highlighting aspects of their operation and vulnerability. The main topics covered are the structure of the national electricity system, energy production and distribution systems, electric mobility and how to analyse the risks associated with electricity infrastructures from the perspective of failures due to internal causes and atmospheric phenomena.

AIMS AND CONTENT

LEARNING OUTCOMES

The course is focused on the modelling and simulation of critical energy infrastructures, such as smart grids, electricity production plants, electrical storage systems, electric mobility systems, transmission and distribution lines, considering also electrical system outages; the planning of power systems is faced also focusing on reliability and security of power supply, introducing different network infrastructures, advanced protection systems and reserve supply.

AIMS AND LEARNING OUTCOMES

The main objective of the course is to enable students to acquire knowledge in the field of electrical power systems and, in particular, critical energy infrastructures. At the end of the course, students will have acquired the necessary skills to develop models of electrical power systems focusing on safety aspects, with particular reference to: electrical risk in networks; lightning; faults; reliability models. They will also be able to develop technical and economic analyses and optimisation and simulation models of production, transmission, distribution and storage systems, with a focus on the smart grids/microgrids/nanogrids sector and the electric mobility sector.

PREREQUISITES

Knowledge of power systems and energy systems.

Knowledge of mathematical analysis and systems theory.

TEACHING METHODS

Theoretical and applied lectures.

SYLLABUS/CONTENT

The following topics will be addressed:
- the national and European electricity system (production, transmission, distribution): technological and regulatory aspects ("Clean Energy for all Europeans" package of the European Commission);
- smart grids/microgrids/nanogrids: technological, environmental and economic aspects; the Smart Polygeneration Microgrid of the Savona Campus;
- electric storage systems and electric mobility systems;
- reliability and vulnerability of electricity grids and basic concepts of electrical safety;
- methods for electrical risk assessment;
- lightning;
- risk of explosion and the ATEX directive;
- fault analysis in electrical installations;
- development of simulation and optimisation models for complex energy systems;
- reliability models for electrical power systems.

Contribution to the Sustainable Development Goals of the United Nations 2030 Agenda:

- Goal 7. Ensure access to affordable, reliable, sustainable and modern energy systems for all.

- Goal 9. Build a resilient infrastructure and promote innovation and equitable, responsible and sustainable industrialization.

- Goal 12. Ensure sustainable production and consumption patterns.

RECOMMENDED READING/BIBLIOGRAPHY

Lecture notes.

Books and papers suggested by the lecturer.

TEACHERS AND EXAM BOARD

Exam Board

STEFANO BRACCO (President)

RENATO PROCOPIO

BARBARA BONVINI (President Substitute)

LESSONS

LESSONS START

https://courses.unige.it/10553/p/students-timetable

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The examination consists of a written test during which the student is asked to answer theoretical questions or solve numerical exercises.

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Federico Scarpa (federico.scarpa@unige.it ), the School's disability liaison.

ASSESSMENT METHODS

Evaluation of theoretical knowledge and practical methodologies in the field of critical energy infrastructures. Verification of the ability to develop optimisation and simulation models in this field and electrical risk analysis.

Exam schedule