Motor drives and smart grid

General

• Course Code: 1839
• Semester: 8th
• Course Type: Specialization (SP)
• Course Category: Optional (OP)
• Scientific Field: Electronics (EL)
• Lectures: 2 hours/week
• Lab teaching: 2 hours/week
• ECTS units: 6
• Teching and exams language: Greek
• Recommended prerequisite courses: (1702) Power Electronics
• Coordinator: Kioskeridis Iordanis

Educational goals

The aim of the course is to provide students with the basic knowledge of the construction and operation of electric motors, in order to analyze and evaluate power paths in various applications focusing on electric vehicles, which are interconnected to the grid for optimal management of available energy. Specific objectives of the course are that the student can:

• Categorize the different types of electric machines.
• Understand the electrical characteristics of electric machines.
• Design power converters for driving electric motors.
• Understand the control of electric machines.
• Describe the power train of electric vehicles.
• Evaluate the capabilities and benefits of smart grid, especially in cases of interconnection with electric vehicles.

General Skills

• Search, analyze and synthesize data and information, using the necessary technologies.
• Decision making.
• Independent work.
• Teamwork.
• Exercising criticism and self-criticism.
• Promoting free, creative and inductive thinking.

Course Contents

● Direct current machines.
● Alternating current machines.
● Power converters.
● Open and closed loop control.
● Electric vehicles.
● Smart grid technologies.

Teaching Methods - Evaluation

Teaching Method

• Face to face teaching.
• Laboratory training in small groups of students.

Use of ICT means

• Using Power Point Presentations software.
• Using the online learning platform (moodle).
• Contact students via email.

Teaching Organization

Students evaluation

I. Written Final Examination of Theory (ET), which is in the form of problem solving with distinct difficulty.

II. Evaluation of laboratory projects (LAB).

The course grade is derived from ET * 0.6 + LAB * 0.4 and must be at least five (5.0).

The grade in each of the two assessment methods must be at least four (4.0).

Assessment criteria are notified to students through the course web site, and also during lectures and labs.

Recommended Bibliography

Complementary greek bibliography

1. (Ελληνικά) Chapman Stephen J., Θεοδουλίδης Θ. (επιμέλεια), “Ηλεκτρικές μηχανές ac-dc”, ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε., 5η έκδοση 2019, ISBN: 978-960-418-741-6
2. Μαλατέστας Παντελής Β., “Ηλεκτρικές Μηχανές”, ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε., 3η έκδοση 2015, ISBN: 978-960-418-498-9

Complementary international bibliography

1. Rodrigo Garcia-Valle, João A. Peças Lopes, “Electric Vehicle Integration into Modern Power Networks”, Springer Verlang, 2012, ISBN: 9781461401339.
2. James Momoh, “Smart Grid: Fundamentals of design and analysis”, Wiley-IEEE Press, 2012, ISBN: 978-0470889398.
3. Fereidoon Sioshansi, “Smart Grid”, Academic Press, 2011, ISBN: 9780123864529.

Scientific journals

1. IEEE Transactions on Smart Grid.
2. IEEE Transactions on Energy Conversion.
3. IEEE Transactions on Vehicular Technology.