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SUMMARY:Ancillary service to the grid from deferrable loads: the case for 
 intelligent pool pumps in Florida - Meyn\, S (University of Illinois)
DTSTART:20130814T123000Z
DTEND:20130814T131500Z
UID:TALK46637@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Renewable energy sources such as wind and solar power have a h
 igh degree of unpredictability and time-variation\, which makes balancing 
 demand and supply challenging.  One possible way to address this challenge
  is to harness the inherent flexibility in demand of many types of loads. 
 We focus on pool pumps\, and how they can be used to provide ancillary ser
 vice to the grid for maintaining demand-supply balance.  \nThe control sol
 ution is based on the following steps: \n1.  A Markov Decision Process (MD
 P) model is introduced for an individual pool pump. \n2.  Using the Todoro
 v's formulation\, a randomized control architecture is proposed\, motivate
 d by the need for decentralized decision making\, and the need to avoid sy
 nchronization that can lead to large and detrimental spikes in demand. \n3
 .  An aggregate model for a large number of pools is obtained from a mean 
 field limit. \n4.  A linearization of the eigenvector problem in (2) provi
 des an LTI-system approximation of the aggregate nonlinear model\, with a 
 scalar signal as the input and a measure of the aggregate demand as the ou
 tput. \n\nThe final approximation is convenient for control design at the 
 grid level.  Simulations are provided to illustrate the accuracy of the mo
 dels and effectiveness of the proposed control approach.\n\n
LOCATION:Seminar Room 1\, Newton Institute
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