Violette Berge

Violette Berge

Violette Berge

Vice-President for the Canadian office of Artelys

Violette Berge is Vice-President for the Canadian office of Artelys in Montreal. After two parallel Masters of Science in applied mathematics and operations research, Violette oriented her work on energy systems modeling, forecast and optimization. Within her work at Artelys Canada, she has lead several projects for large players of the energy domain (private power generators, integrated utilities and public institutions). She has worked on complex and diverse topics, including detailed studies on hydropower plants operations and scheduling, regulatory studies for gas distribution rate design or flexibility remuneration mechanisms within PJM and other jurisdictions. Since she is head of the Canadian office, Violette has successfully managed several projects of more than 100 kCAD resulting in clients satisfactions, giving her a great understanding of the Canadian energy context and energy issues at stake in the different Canadian provinces and some American states. In continuity, she currently manages and coordinates a 2 ½ year R&D project for Artelys Canada co-financed by the National Research Council Canada on North-American power markets modeling, with a focus on nodal pricing.

Track: Optimization

Tuesday, April 16, 4:40–5:30pm

Optimizing Power Mix Trajectories for Long-Term Policy Making

In a world of transition, planning the future of our power system becomes a key issue. What amount of renewable energies, storage, distributed resources, thermal resources will compose my future generating portfolio, in order to satisfy a growing need for electricity, accompanied with energy efficiency measures? Answering these questions and computing the optimal mix trajectory requires detailed modeling of the power system and networks, with detailed time and spatial granularity and joint optimization of generation solutions and flexibility solutions (storage, demand management, etc.) deployment. Through several years of research and development, Artelys developed an optimization method based on decomposition techniques to compute optimal trajectories. These techniques launched on HPC clusters enable Artelys to carry out number of studies for long term policy makers. After introducing our optimization model, an application study will be presented on the French case on how to optimize the Renewable Energy Sources development by 2050.