About

Since October 2016, I am assistant professor in smart-microgrids within the Montefiore research unit. I 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.

Team

  • Ioannis Boukas, PhD student, participation of microgrids to markets
  • Jonathan Dumas, PhD student, weather based forecasting for electricity markets
  • Ioannis Poursanidis, PhD student, forecasting and control of microgrids
  • Selmane Dakir, PhD student, microgrid sizing
  • Michaël Castronovo, Postdoc, software development, reinforcement learning for microgrid management

Master theses

I am proposing several master thesis topics related to microgrids / optimization / AI / ride sharing. They can be consulted on the website of my faculty.

Open source code

  • Microgrid-bench - a microgrid benchmark for operational planning controllers
  • ANM benchmark - a benchmark for active network management controllers in distribution systems
  • DSIMA - a testbed for the quantitative analysis of interaction models within distribution networks

Publications

Teaching

ELEC0053 Circuits électriques Course description

The course is in french. Supporting material available on myUliège.

PROJ0016 Big data project

A dedicated page with the project organization is here.

ELEC0018-1 Energy Markets

Lecture slides. Organization of European day-ahead electricity markets and the algorithm used for solving the market coupling problem. See the web page of Pr. Damien Ernst for the full course.

ELENO445-1 Microgrids Course description

In 2018-2019, the course is scheduled on Wednesdays from 2PM to 4PM in room I.97, building B28.

Schedule
Date Lecture content (with link to slides when available) Assignment due
19/09/2018 Introduction and course organization
26/09/2018 Model of microgrid components (part 1) + lab visit (assignment 1)
03/10/2018 Model of microgrid components (part 2)
10/10/2018 Forecasting for microgrid operation + assignment 2 presentation 1
17/10/2018 Planning the operations of a microgrid + Q&A assignement 2
24/10/2018 Introduction to mathematical programming + Examples + assignment 3 presentation and assignment files
31/10/2018 No lecture 2
07/11/2018 MeryGrid microgrid visit
14/11/2018 Community microgrids + Q&A assignement 3
21/11/2018 Sizing a microgrid + assignment 4 presentation 3
28/11/2018 MiRIS microgrid visit (CMI premises)
05/12/2018 Reinforcement learning for microgrid operation + Q&A assignement 4
12/12/2018 Q&A assignement 4
19/12/2018 No lecture 4
08/01/2019 Oral exam B28, Room I.18, 9 AM