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SUMMARY:Balancing the Grid through Distributed Control of Flexible Loads -
  Ana Busic (INRIA\; CNRS - Ecole Normale Superieure Paris)
DTSTART:20190502T133000Z
DTEND:20190502T143000Z
UID:TALK123598@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:A control scheme that unifies feedforward and feedback control
  for a large collection of heterogeneous loads is proposed. The feedforwar
 d part capitalizes on the knowledge of grid-event forecasts\, such as pred
 icted ramps in solar and wind energy and the approximate periodicity of th
 e demand cycle.  The slower time-scale feedforward control strategy utiliz
 es a model predictive control (MPC) framework designed on the basis of two
  pieces of  information: aggregate power consumption from each class of lo
 ads and the state of charge surrogate that is a part of the leaky battery 
 model. Feedback control is performed at a faster time scale in order to re
 ject real-time disturbances. The control architecture incorporates the dec
 entralized load-level stochastic control design\, which ensures that consu
 mer QoS constraints are respected.
LOCATION:Seminar Room 1\, Newton Institute
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