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POWER SYSTEMS SIMULATION AND OPTIMIZATION

CODE 86667
ACADEMIC YEAR 2021/2022
CREDITS 6 credits during the 2nd year of 10170 ENERGY ENGINEERING (LM-30) SAVONA
SCIENTIFIC DISCIPLINARY SECTOR ING-IND/33
LANGUAGE English
TEACHING LOCATION SAVONA (ENERGY ENGINEERING )
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 goals of this course are to provide the students the capabilities related to modelling different power system technologies in off-design and transient operating conditions, through the use of dedicated software, and to developing optimization mathematical models to design and manage distributed generation plants, smart grids and microgrids, and electric mobility systems.

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 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 smart grids and smart microgrids/nanogrids (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).

 

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 and smart grids/microgrids/nanogrids

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

- 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

Exam Board

STEFANO BRACCO (President)

FEDERICO DELFINO

RENATO PROCOPIO (President Substitute)

LESSONS

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.

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, microgrids/nanogrids and electric mobility systems.

Exam schedule

Date Time Location Type Notes
11/01/2022 09:30 SAVONA Orale
26/01/2022 09:30 SAVONA Orale
15/02/2022 09:30 SAVONA Orale
08/06/2022 09:30 SAVONA Orale
22/06/2022 09:30 SAVONA Orale
06/07/2022 09:30 SAVONA Orale
20/07/2022 09:30 SAVONA Orale
08/09/2022 09:30 SAVONA Orale

FURTHER INFORMATION

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