B028292 - ELECTRICAL CIRCUITS AND SYSTEMS FOR SMART GRIDS

Italian/English

Smart grid architectural designs. Electrical power definitions under non-sinusoidal condition. Smart grid communications and measurement technology. Performance and stability analysis tools for smart grid design. Computational tools for smart grid design. Pathway for designing smart grid. Machine learning applied to smart grids. Renewable energy and storage. Interoperability and standards. Case studies and testbeds for the smart grid.

• Lecture Notes
• Scientific papers
• James Momoh, Smart Grid: Fundamentals of Design and Analysis, Wiley-IEEE Press

The course will provide students with a working knowledge of fundamentals, design, analysis, and development of Smart Grid.
The course offers an introduction to the basic concepts of power systems along with the inherent elements of computational intelligence, communication technology and decision support system. The automation and computational techniques needed to ensure that the Smart Grid guarantees adaptability and capability of handling new systems and components are discussed. The interoperability of different renewable energy sources are included to ensure that there will be minimum changes in the existing legacy system. Standards and requirements needed for designing new devices, systems and products for the Smart Grid are discussed. Power flow analysis and optimization schemes needed for the generation, transmission, distribution, demand response, and reconfiguration is explained in detail and simulation tools such as Matlab, OpenModelica and Power World are used.

Electric Machines and Power Converters.

Electrical Plants

Electronic Measurements.

The module “Electric Energy Systems” is also recommended.

The course is developed on:

• 40 hours of classroom lectures; </ li>
• 4 hours of seminars; </ li>
• 25 hours of laboratory exercises; </ li>
• 80 hours of individual study and drafting of project work. </ li> </ ul>

The lectures will start on October, 1, 2019.
Exam dates and register

Oral examination with technical report discussion.

1. Course introduction


2. Smart grid architectural designs


3. Smart grid communications and measurement technology


4. Definition and measurement of electrical quantities in sinusoidal, non-sinusoidal, balanced and unbalanced conditions


5. Performance analysis tools for smart grid design


6. Stability analysis tools for smart grid


7. Computational tools for smart grid design


8. Machine Learning applied to Smart Grids. Supervised energy prediction. Unsupervised energy prediction. On-line Energy Optimization. Analysis and quantification of energy flexibility.


9. Pathway for designing smart grid.


10. Renewable energy and storage:
    
    • modeling converters in microgrid power systems;
    • microgrid solar energy systems;
    • microgrid wind energy systems;
    • Biomass;
    • Cogeneration.
    
    


11. Interoperability, standards, and cyber security


12. Case studies and testbeds for the smart grid

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