Smart grids technologies

Summary

Learn the technologies and methodologies used in the context of the operation of future power grids and be able to deploy/implement/test them.

Content

Keywords

Smart grid, power systems

Learning Prerequisites

Required courses

Fundamental of electrical circuits and systems I and II, principles of power systems, convex optimization.

Recommended courses

Signal processing, discrete optimization methods, model predictive control.

Important concepts to start the course

Understanding electrical grids operational principles.

Learning Outcomes

By the end of the course, the student must be able to:

• Design monitoring and control platforms for smart grids
• Test a smart grid
• Implement a smart grid
• Analyze performance of a smart grid
• Analyze the performance of a smart grid
• Design monitoring and control platforms of smart grids

Transversal skills

• Plan and carry out activities in a way which makes optimal use of available time and other resources.
• Continue to work through difficulties or initial failure to find optimal solutions.
• Demonstrate the capacity for critical thinking
• Manage priorities.

Teaching methods

Ex cathedra, classroom integrated exercises and computer laboratory sessions.

Expected student activities

Attend lectures and labs

Do lab homeworks

Do online quizzes

Assessment methods

Written exam (50%) and graded lab reports (50%)

Supervision

Resources

Moodle Link

• https://go.epfl.ch/EE-472

Prerequisite for

Master projects in the areas of power systems and energy conversion systems.