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CODE 86667
ACADEMIC YEAR 2023/2024
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR ING-IND/33
LANGUAGE English
TEACHING LOCATION
  • SAVONA
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

86667 – POWER SYSTEMS SIMULATION AND OPTIMIZATION

Scientific domain: ING-IND/33 Electrical Power Systems

European Credit Transfer System Credits (ECTS): 6

Year: Second year of the M.Sc. in Energy Engineering

Lessons schedule: according to Polytechnic School timetable

Lecturer: STEFANO BRACCO

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).

 

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.

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 11. Making cities and human settlements inclusive, safe, durable, and sustainable.
  • Goal 12. Ensure sustainable production and consumption patterns.
  • Goal 13. Promote actions, at all levels, to combat climate change.

 

 

 

 

 

 

 

 

 

RECOMMENDED READING/BIBLIOGRAPHY

Lecture notes.

Books and papers suggested by the lecturer.

 

TEACHERS AND EXAM BOARD

Exam Board

STEFANO BRACCO (President)

FEDERICO DELFINO

RENATO PROCOPIO (President Substitute)

LESSONS

LESSONS START

https://courses.unige.it/10170

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Each student has to prepare a written report 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 learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the Delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities

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.

Exam schedule

Data appello Orario Luogo Degree type Note
11/01/2024 09:30 SAVONA Orale
22/01/2024 09:30 SAVONA Orale
01/02/2024 09:30 SAVONA Orale
13/02/2024 09:30 SAVONA Orale
11/06/2024 09:30 SAVONA Orale
27/06/2024 09:30 SAVONA Orale
11/07/2024 09:30 SAVONA Orale
17/09/2024 09:30 SAVONA Orale

FURTHER INFORMATION

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

Agenda 2030 - Sustainable Development Goals

Agenda 2030 - Sustainable Development Goals
Affordable and clean energy
Affordable and clean energy
Industry, innovation and infrastructure
Industry, innovation and infrastructure
Sustainable cities and communities
Sustainable cities and communities
Responbile consumption and production
Responbile consumption and production
Climate action
Climate action