The course has the objective of providing the essential tools for analysis and optimization of energy systems. To this end, various methodological approaches will be introduced and discussed. The effectiveness of such approaches will be demonstrated via software exercises carried out in connection with simple case studies.
To provide the essential methodological tools for the statement and the solution of management and control problems relevant to energy and environmental systems. To provide an introduction to widespread and flexible software tools (such as, for instance, LINGO and MATLAB) for the solution of optimization and control problems, and for the simulation and performance analysis of the controlled dynamic systems.
The objective of the course is that of providing the essential methodological tools necessary for the statement and the solution of management and control problems of energy systems. Besides, software tools like MATLAB and LINGO will be introduced and used, during the course, for the solution of the considered problems, as well as for the simulation and analysis of the controlled systems. At the end of the course, the sudents will be able to represent energy systems as dynamic models and to state and solve control and optimization problems for such systems.
Mathematical analysis (standard level). Basic knowledge of system theory. Electrical systems models.
Lectures and computer exercises in the classroom.
The course includes various topics useful for the management of power and energy systems: methodological aspects for the formalization of optimization and control problems; modeling aspects of some specific application fields; software tools useful for the implementation and resolution of optimization and control problems. In particular, the topics of the course concern: - Methods and tools for the simulation of dynamic systems. - Static optimization. Linear and integer linear programming. - Representation of dynamic systems through state equations. - Dynamic optimization and optimal control. - Predictive control. - Optimal management of energy systems, with particular reference to the following application areas: sustainable districts, smart grids, smart buildings, management of electric vehicle charging, scheduling of production plants.
Some bibliographical references are included in the class notes.
Ricevimento: It is possible to book an appointment.
MICHELA ROBBA (President)
ROBERTO SACILE
RICCARDO MINCIARDI (President Substitute)
https://courses.unige.it/10170/p/students-timetable
Oral examination, including a discussion of the reports of the computer classworks. Students should be able to formalize optimization problems.
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
The exam will be the objective of checking and evaluating the capability of the students to state and solve simple optimization and control problems, analogous to those presented during the lectures.
