OPTIMIZATION FOR SMART GRIDS
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MASTERS RESEARCHERS

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Louis-Philippe Proulx
Masters student in energy engineering
​514 340-6053 x3925
Coming soon.

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Viviane Aubin
Masters student in energy engineering
514 340-6053 x3926
 viviane-2.aubin@polymtl.ca
Coming soon.

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Florian Pedroli
Masters student in energy engineering
514 340-6053 x3926

florian.pedroli@polymtl.ca
The aim of my research is to understand if residential demand response can be used to tackle the problem of phase balancing. In order to reduce the loss related to the conversion from three-phase to single phase current, demand response can be used to balance the load on each phase and so to reduce this loss.

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Marie Pied
Masters student in energy engineering
 514 340-6053 x3925

marie.pied@polymtl.ca

Residential demand response program have been shown to have a huge potential to balance the integration of renewable energy and to shift load from peak to low demand period.  My research project consists of defining the possible business model of a water-heaters aggregator. I will look for what technical and economical viable offer can be proposed, using amoung others the mean field game theory. 

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Valerie Provost
Masters Student in Applied Mathematics
514 340-6053 x3925

valerie.provost@polymtl.ca
My research focuses on the techno-economic impacts of high penetration of distributed energy storage in the electricity market. More specifically, the objective of my current project is to understand the key market drivers that will make the energy storage-as-a-service (ESaaS) business model profitable for investors, customers, utilities and RTO/ISO.

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Hugues Souchard de Lavoreille
Internship
Masters in Science and Executive Engineering
MINES ParisTech, France
514 340-6053 x3925
hugues.souchard@polymtl.ca
Influencing appliances' and consumers' behaviour by sending price signals is a promising way to solve the complicated equation of achieving power network stability at low cost with low carbon emissions and low energy usage. Demand response at the level of private dwellings can be achieved by aggregating a high number of homes appliances and by controlling the load of this set of dwellings together. My research focuses on bottom-up modeling and optimizing the behaviour of this set of appliances in a context of high penetration of renewable energies sources, storage systems and other new usages.

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