GERAD, Montréal & INRIA Lille
Power grids are evolving with the integration of distributed and renewable generation sources and with the possibility of exchange of information between consumers and the aggregator supplying them. We highlight an application of bi-level optimization for such situation involving a new energy tariff setting for residential consumers, implemented in Julia first as a black-box problem, then decomposed as a set of linear problems with JuMP.
Mathieu Besançon is a PhD student in a double program between Ecole Polytechnique of Montréal, Canada at GERAD, and the INOCS team at INRIA Lille, France. His research focuses on optimization in smart grids for the development of simple, robust and scalable Demand Response programs.
