The course provides the student population with the basic knowledge for the analysis and electrical design of both AC and DC SmartGrids and Micro-Grids with hybrid energy flows, energy storage systems and fuel cells in order to maximize flows. of power while minimizing consumption and costs. The tools used, in addition to concepts of mathematical analysis, basic physics and electrical engineering, concern the most innovative techniques of artificial intelligence and soft computing using specific software such as MatLab/Simulink to support the design.
Mathematical Analysis, Physics, Electrical Engineering.
Classroom lessons, laboratory activities, project activities. Use of specific software.
discussion of the project work.
30 cum laude: complete, in-depth and critical knowledge of the topics, excellent linguistic skills, complete and original interpretative ability, full ability to autonomously apply knowledge to solve the proposed problems;
28 - 30: complete and in-depth knowledge of the topics, excellent linguistic skills, complete and effective interpretative ability, able to autonomously apply the knowledge to solve the proposed problems;
24 - 27: knowledge of the topics with a good level of mastery, good linguistic skills, correct and confident interpretative ability, good ability to correctly apply much of the knowledge to solve the proposed problems;
20 - 23: adequate knowledge of the topics but limited mastery of the same, satisfactory linguistic skills, correct interpretative ability, more than sufficient ability to autonomously apply the knowledge to solve the proposed problems;
18 - 19: basic knowledge of the main topics, basic knowledge of technical language, sufficient interpretative ability, sufficient ability to apply the basic knowledge acquired;
<18 Insufficient: does not have acceptable knowledge of the topics covered during the course.
Introductory aspects
Smart Grids and Micro-Grids. Energy supply techniques. Load balancing. Power flows and information flows.
Energy Transmission/Distribution
three-phase systems in asymmetrical and unbalanced conditions. Distribution systems. Component and line modeling techniques. Computer representation techniques.
Distribution Systems
Power flows in electrical networks. Fault analysis techniques and protective devices. Automation and reconfiguration of distribution networks. Regulatory aspects.
Smart Grids/Micro-Grids
Smart and Micro Grids schemes. Connected and islanded operation. Hybrid production and storage devices. Latest generation devices. Fuel cells.
Energy Management Systems
Artificial intelligence, fuzzy and neuro-fuzzy techniques for managing power flows in Micro-Grids.
1) F. De Fiandre, M. Castilla, B.D. Bonatto - Basic Tutorial on Simulation of Microgrids Control Using MatLab & Simulink Software - Springer.
2) M. Rahmani-Andebili - Design, Control and Operation of Microgrids in Smart Grids - Springer.
3) Teaching material provided by the teacher.
Guided visits to companies that use Micro-Grids managed by artificial intelligence techniques with reduced environmental impact.
