OVERVIEW

• 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.

AIMS AND CONTENT

LEARNING OUTCOMES

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.

TEACHING METHODS

Lectures and computer exercises in the classroom.

SYLLABUS/CONTENT

Methods and tools for dynamic system simulation. Static optimization. Linear and integer programming. State-space representation of dynamic systems. Dynamic optimization. Optimal control and dynamic programming. Stochastic models. Prediction models. Predictive control.
Optimal management of energy systems. Centralized and distributed control systems. Multi-agent models. Application to specific systems and smart grids.

RECOMMENDED READING/BIBLIOGRAPHY

Some bibliographical references are included in the class notes.

TEACHERS AND EXAM BOARD

Exam Board

RICCARDO MINCIARDI (President)

MICHELA ROBBA (President)

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Oral examination, including a discussion of the reports of the computer classworks.

Exam schedule