OVERVIEW

The course provides knowledge for the development of simulation and optimisation models of complex energy and electrical systems: distributed generation plants, battery storage systems, multi-energy microgrids and nanogrids, electric vehicle charging hubs, energy communities, prosumer buildings. Mathematical models are developed in the classroom and implemented using computer tools.

AIMS AND CONTENT

LEARNING OUTCOMES

The course is designed to provide the students the theoretical and methodological skills necessary for the development of power system simulation and optimization models. The course aims to provide the students the capabilities to model different power system technologies in off-design and transient operating conditions, through the use of dedicated software, and to develop optimization mathematical models for the design and the operation of energy communities, microgrids, nanogrids, and smart charging infrastructures for electric vehicles.

AIMS AND LEARNING OUTCOMES

The main purpose of the course is to provide students competences on the development of power system optimization and simulation tools, with a particular focus on distributed generation, smart grids/microgrids/nanogrids, energy communities and smart electric mobility systems. Students will acquire skills to develop mathematical models for the simulation of the behaviour of power plants in off-design and transient conditions. Moreover, students will be able to develop optimization models to design and daily operate energy communities, smart grids and smart microgrids/nanogrids (Optimal Design models and Energy Management Systems). Competences on the modelling of electric storage systems and electric mobility (vehicle-to-grid V2G and vehicle-to-building V2B technologies, Smart Charging of electric vehicles) will be also acquired.

PREREQUISITES

Knowledge of power plants.

Knowledge of power and energy systems.

Knowledge of mathematical analysis and systems theory.

TEACHING METHODS

The course is organized in interactive lectures on theoretical topics, solution of case studies and computer aided exercises (using Matlab, Simulink, Simscape, Yalmip, Homer Pro, Homer Grid, Recon).

SYLLABUS/CONTENT

- Development of mathematical models to simulate the behaviour of power plants in off-design (partial loads) and transient operating conditions

- Smart grids and smart microgrids/nanogrids: technical and economic aspects, the Smart Polygeneration Microgrid of the Savona Campus

- Modelling of electrical storage systems, high performance cogeneration and trigeneration units, renewable power plants

- Modelling of electrical circuits

- Electric mobility systems (electric vehicles and charging infrastructures, vehicle-to-grid V2G and vehicle-to-building V2B technologies, Smart Charging of electric vehicles)

- Development of optimization tools to design and daily operate distributed energy facilities, energy communities and smart grids/microgrids/nanogrids

- Development of Energy Management Systems for smart grids/microgrids/nanogrids and energy communities

- Analysis of the technologies for the Smart City: smart buildings connected to smart microgrids, e-mobility, demand response strategies.

RECOMMENDED READING/BIBLIOGRAPHY

Lecture notes.

Books and papers suggested by the lecturer.

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/en/corsi/10170

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Each student has to prepare a written report (possibly also in a group with other students) on a developed optimization/simulation model.

A positive evaluation of the written report permits to have access to the oral exam which consists of answers to theoretical questions and the solution of 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 the acquisition of practical and theoretical competencies in developing optimization and simulation models of power plants, energy distribution and storage systems, energy communities, microgrids/nanogrids and electric mobility systems.

FURTHER INFORMATION

Students have to install Matlab/Simulink/Simscape software on their computer in order to follow lessons.