ELENO445-1 Microgrids Course description
The course is scheduled on Tuesdays from 2PM to 4PM in room I.21, building B28. Send me an email to register to the course.
|Date||Lecture content (with link to slides when available)||Version||Assignment due|
|26/09/2017||Introduction and course organization + assignment 1 description||1|
|03/10/2017||Planning the operations of a microgrid + assignment 2 presentation||1|
|10/10/2017||Model of microgrid components|
|17/10/2017||Planning the operations of a microgrid (end)|
|24/10/2017||Sizing a microgrid + assignment 3 presentation||2|
|14/11/2017||Machine learning for microgrid operation + assignment 4 presentation||3|
|28/11/2017||Real time control of microgrids + assignment 5 presentation||4|
|12/12/2017||Interactions of microgrids with markets|
ELEC0018-1 Energy Markets
Lecture slides. Organization of European day-ahead electricity markets and the algorithm used for solving the market coupling problem.
Since October 2016, I am assistant professor in smart-microgrids within the Montefiore research unit. I am doing my best to apply optimization and machine learning to practical applications in electrical power systems. Before turning to microgrids, I worked on active network management in distribution systems (GREDOR Project), I lead for some time the development of Euphemia, the algorithm that is used by European Power Exchanges for clearing the day-ahead electricity market, and I developed some algorithms for the optimal scheduling of EDF's power plants. I am currently participating to the MeryGrid project that aims at building a pilot community microgrid with and advanced energy storage system and an advanced energy management system.
I am also a contributor and big enthusiast for the ride sharing application that we are developing for the university.
I have one PhD student, Ioannis Boukas (participation of microgrids to markets), and I am working in close collaboration with the team of Pr. Damien Ernst.
I am proposing several master thesis topics related to microgrids / optimization / AI / ride sharing. They can be consulted on the website of my faculty.