CODE 86667 ACADEMIC YEAR 2018/2019 CREDITS 6 cfu anno 2 ENERGY ENGINEERING 10170 (LM-30) - SAVONA 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 STEFANO BRACCO Ricevimento: By appointment arranged through email or phone. Contact details: Stefano Bracco, Savona Campus, Delfino Building, first floor, office no. 3, tel. +39-01921945123, mob. +39-3357917372, e-mail: stefano.bracco@unige.it Exam Board STEFANO BRACCO (President) FEDERICO DELFINO RENATO PROCOPIO LESSONS LESSONS START March 4, 2019 Class schedule POWER SYSTEMS SIMULATION AND OPTIMIZATION 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