Large Dimensional Stochastic System Analysis for the Smart Grid
Speaker: Romain Couilet, Supelec
Series: Topical Seminars
Location:
Engineering Quadrangle B205
Date/Time: Thursday, November 10, 2011, 4:30 p.m.
- 5:30 p.m.
ELE 518
Abstract:
The future of electricity generation, distribution and consumption is characterized by the increasing size of the power network, the increasing stochasticity of the main actors, and the unbundling of the electricity market. These trends call for the development of new tools to understand and apprehend various aspects of the smart grids from the physical layer to the economic layer.
In this talk, we will introduce a set of three tools (random matrix theory, mean field games, and decentralized stochastic optimization), which are at the core of recent trends in various research fields in large stochastic system analysis. Application examples of these tools in smart grids are discussed and recent results are introduced.
Biography:
Romain Couillet received his MSc in Mobile Communications at the Eurecom Institute and his MSc in Communication Systems in Telecom ParisTech, France in 2007. From 2007 to 2010, he worked with ST-Ericsson as an Algorithm Development Engineer on the Long Term Evolution Advanced project, where he prepared his PhD with Supelec, France, which he graduated in November 2010. He is currently an assistant professor in the EDF Chair "Systems Science and the Energetic Challenge'' in Supelec and Centrale Paris, France. His research topics are in information theory, signal processing, complex systems and random matrix theory. He is the recipient of the Valuetools 2008 best student paper award and of the 2011 EEA/GdR ISIS/GRETSI best PhD thesis award.
