Avenue de la Boulaie — CS 47601
35576 Cesson-Sévigné Cedex, France
office phone: +33 2 99 84 45 76
cell phone: +33 6 81 17 12 06
Core research topics: analysis, sizing and optimal control of energy systems under uncertainty (e.g. solar and wind power production).
Methods: Stochastic Dynamic Programming, Model Predictive Control.
Software tools: Python (pandas), Julia (JuMP), and sometimes Matlab. Convex optimization solvers.
“Sizing and optimal control of an energy storage associated with wind power generation”
supervised by Bernard Multon and Hamid Ben Ahmed on the academic side, and Stéphane Lascaud at EDF R&D on the industrial side
thesis prize: colaureate of the 2015 Paul Caseau Prize, awarded by Académie des Technologies & Fondation EDF.
“Characterizing the uncertainty of wind power generation”
supervised by Pascal Bondon
“Platform for the real-time simulation of power electronics systems”
supervised by Ivan Čelanović and in collaboration with Félix Hartmann, Michel Kinsy and Jason Poon
“Real-time simulation of power electronics circuits”
supervised by Ivan Čelanović
This project turned into a successful company, Typhoon HIL, Inc., a leader for Hardware-in-the-Loop (HIL) real-time emulators for power electronics. I continued collaboration with Typhoon until 2011.
I’m interested in understanding human learning and how to best organize courses to maximize students’ learning. To that end, as time permits, I’m gradually reading books on the matter (“How learning works”, “Teaching what you don’t know”, “Small teaching”). I try to find small practical actions which promote active learning in the classroom (or since 2020, in online settings…), but I don’t claim I’m successful at applying these tools extensively. I’m less interested in “bigbang” pedagogical innovations, although I’m not opposed to them and I’m kindly skeptical at the optimistic promotion of digital technologies which claim to revolutionize teaching, although I’m fond of computing.
2016–present: 1st year electrical energy course (AC power, magnetic circuits, transforms, DC machines).
2016–present: creating and teaching a course on the Modelica multiphysics modeling language, with a focus on model structuring and collaborative engineering (version control with Git), and a short introduction to bond graphs (33 hours). Online assignment: http://éole.net/courses/modelica/ (with OpenModelica getting started videos 📹).
2019–present: 2nd year “engineering challenge term” on Microgrids and Renewable Energies, which includes an optimization project (with Nabil Sadou).
2020–present: Introduction to Power Systems course (AC load flow (Matpower), voltage regulation, integration of Renewables, 15 hours).
2021–present: Optimization under Uncertainty course (9 hours), followed by 15-hour practice sessions on optimal sizing and energy management of a Microgrid (with Nabil Sadou).
2022–present: Power electronics modeling and control lab course (with Simulink/Simscape).
2015–2018: creation of two 20 hours lab courses for our “Smart grids” Master program:
2014–2019: supervising a 5×4 hours lab session on industrial process control with a Programmable logic controller (using Grafcet and Ladder languages)
Other past courses: Model order reduction, Process identification lab.
Supervision of a few 1st and 2nd year students’ projects each year.
2011: Master degree in Control & Signal Processing at CentraleSupélec.
2010: Agrégation in Applied Physics.
Ranked first in this highly competitive test which is required by the French Education Ministry for teaching high school and undergraduate students.
2008: Licence (~eq. of Bachelor) in Applied Physics at ENS Paris-Saclay and Université Paris-Sud (now Paris-Saclay).
I’m interested in open source tools for reproducible scientific computing. GitHub: pierre-haessig
Remark: only selected publications are listed in this “short” CV. See the “long” version for a complete list.
Work on the optimal sizing and management of an energy systems including storage (batteries) and renewable power generation (wind, solar).
PhD thesis of Jesse James Arthur Prince Agbodjan (defended in May 2021) on how to take into account rare and extreme events (like grid outages) in Model Predictive Control.
PhD thesis of Joy El Feghali (defense planned in March 2023) which covers Modelica model simplification (with energy-based indices) and optimization based control using Modelica models.
Collaboration with Marjorie Cosson on the stability of “Q(U) voltage control” schemes on distribution grids.
Research I did before PhD. This project has since become a company, Typhoon HIL, Inc., which produces Hardware-in-the-Loop emulators of power electronics converters.