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UID:20250726T220151EDT-1119Ra57hA@132.216.98.100
DTSTAMP:20250727T020151Z
DESCRIPTION:Virtual Informal Systems Seminar (VISS) Centre for Intelligent 
 Machines (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decision
 s (GERAD)\n\nSpeaker: David Métivier\n\nAbstract: \n	\n	The introduction of 
 renewable energies in power systems has forced electricity management to b
 ecome more flexible both for generation and consumption. Demand Response (
 DR) is a control strategy aiming to address this challenge by adapting and
  controlling in real-time resources to the demand. Ensembles of cycling el
 ectrical devices are good candidates to be used in DR schemes. Approached 
 from the standpoint of Statistical Physics\, an ensemble of cycling device
 s represents a non-equilibrium system driven away from its natural steady-
 state by DR perturbations. After introducing the model describing large ag
 gregate of devices via coupled Fokker-Planck equations\, we will explore t
 he following points: i) how randomness makes the system resilient\, mixing
  it toward a steady-state\; ii) how a Mean-Field Control\, simple and priv
 ate\, can be implemented to improve the ensemble resiliency even more\; ii
 i) how disorder (variability) in the devices ensemble affects the system.
 \n	\n	Bio:\n	David Métivier received his PhD in 2017 at University of Nice Cô
 te d'Azur in France working on the dynamics of mean field particles system
 s. He did a 3 year postdoc at Los Alamos National Laboratory where he used
  methods from statistical physics (and mean field dynamics) applied to sus
 tainable devlopment thematics. In particular he worked on the dynamics of 
 thermostatic controlled loads and uncertainty quantification in electrical
  networks. He is since September a postdoc at the CMAP (applied mathematic
 s) of École Polytechnique in France where he work on the resiliency of the
  French production system against climate change. \n
DTSTART:20201120T160000Z
DTEND:20201120T170000Z
LOCATION:CA\, ZOOM
SUMMARY:Mean Field Control and Disorder for Efficient Mixing of Energy Load
 s
URL:/cim/channels/event/mean-field-control-and-disorde
 r-efficient-mixing-energy-loads-326270
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