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.
2014–present: teaching the 1st year electrical energy course (AC power, magnetic circuits, transformers, DC machines).
2016–present: creating and teaching a 33-hour 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. Online assignment: http://éole.net/courses/modelica/.
2019–present: cocreating and teaching (with Nabil Sadou) a 2nd year “engineering challenge term” on Microgrids and Renewable Energies, which includes an optimization project.
2020: teaching a 15-hour Power Systems course.
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 Supélec.
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 Cachan and Université Paris-Sud.
I’m interested in open source tools for reproducible scientific computing. GitHub: pierre-haessig
Work on the sizing and management of an energy storage connected with renewable power generation (wind, solar).
PhD thesis of Jesse James Arthur Prince Agbodjan.
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.