OVERVIEW

The teaching unit 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, distribution networks, 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 teaching unit 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, distribution networks, 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/transient conditions, and power networks. Moreover, students will be able to develop optimization models to design and daily operate prosumer buildings, 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 charging infrastructures (vehicle-to-grid V2G, vehicle-to-building V2B and vehicle-to-home V2H 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 teaching unit is organized in interactive lectures on theoretical topics, solution of case studies and computer aided exercises (using Matlab, Matpower, Simulink, Simscape, Yalmip, Homer Pro, 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 and power distribution networks

- Electric mobility systems (electric vehicles and charging infrastructures, vehicle-to-grid V2G, vehicle-to-building V2B and vehicle-to-home V2H 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, prosumer buildings with demand response, energy communities and charging hubs for electric vehicles.

RECOMMENDED READING/BIBLIOGRAPHY

Lecture notes.

Books and papers suggested by the lecturer.

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/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 with valid certifications for Specific Learning Disorders (SLDs), disabilities or other educational needs are invited to contact the teacher and the School's contact person for disability at the beginning of teaching to agree on possible teaching arrangements that, while respecting the teaching objectives, take into account individual learning patterns. Contacts of the teacher and the School's disability contact person can be found at the following link:

https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita

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, power distribution networks, prosumer buildings, 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.