Summary

Learn the technologies and methodologies used in the context smart electrical grids and be able to deploy/implement/test them in a lab environment.

Content

Keywords

Smart grid, power systems

Learning Prerequisites

Required courses

Electric power systems, power distribution networks, TPC/IP Networking

Recommended courses

Signal processing, discrete optimization methods, model predictive control, industrial electronics.

Important concepts to start the course

Understanding of electrical grids and communication networks.

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

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.
• Use both general and domain specific IT resources and tools

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%)

Resources

Moodle Link

• https://go.epfl.ch/EE-472

Prerequisite for

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