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CODE 86667
ACADEMIC YEAR 2018/2019
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR ING-IND/33
LANGUAGE English
TEACHING LOCATION
  • SAVONA
SEMESTER 2° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

86667 – POWER SYSTEMS SIMULATION AND OPTIMIZATION

Scientific domain: ING-IND/33 Electric 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 and smart grids.

AIMS AND LEARNING OUTCOMES

The main purpose of the course is to provide students competences on the development of power system optmization and simulation tools, with a particular focus on distributed energy facilities, smart grids/microgrids 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 (Energy Management Systems), also benefitting from experimental activities carried on at the Smart Polygeneration Microgrid of the Savona Campus. Competences on electric storage systems and electric mobility will be also acquired.

 

PREREQUISITES

Knowledge of power plants.

Knowledge of power systems and electrical engineering.

Knowledge of mathematical analysis and systems theory.

TEACHING METHODS

The course is based on theoretical lectures, solution of case problems and computer aided exercises (using Matlab, Simulink, Yalmip).

Exercises will be also done in the laboratory of the Smart Polygeneration Microgrid of the Savona Campus.

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: technical and economic aspects, the Smart Polygeneration Microgrid of the Savona Campus

- Electrical storage systems modelling

- Electric mobility systems (electric vehicles and charging infrastructures, V2G and V2B technologies)

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

- Energy Management Systems within smart grids/microgrids

- Technologies for the Smart City: smart buildings connected to smart microgrids, e-mobility.

 

 

 

 

 

 

 

 

 

 

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

LESSONS

LESSONS START

March 4, 2019

EXAMS

EXAM DESCRIPTION

Written report on a developed optimization/simulation model and oral exam.

A positive evaluation of the written report permits to take the oral exam.

ASSESSMENT METHODS

Evaluation of the acquisition of practical and theoretical knowledge in developing optimization and simulation models of power generation, distribution and storage systems, and electric mobility systems.

Exam schedule

Data appello Orario Luogo Degree type Note
16/01/2019 10:00 SAVONA Orale
30/01/2019 10:00 SAVONA Orale
07/02/2019 10:00 SAVONA Orale
05/06/2019 10:00 SAVONA Orale
19/06/2019 10:00 SAVONA Orale
03/07/2019 10:00 SAVONA Orale
18/07/2019 10:00 SAVONA Orale
12/09/2019 10:00 SAVONA Orale