DocumentCode :
584233
Title :
Fast Precise Distributed Control for Energy Demand Management
Author :
Beal, Jacob ; Berliner, Jeffrey ; Hunter, Kevin
Author_Institution :
Raytheon BBN Technol., Cambridge, MA, USA
fYear :
2012
fDate :
10-14 Sept. 2012
Firstpage :
187
Lastpage :
192
Abstract :
Fast and precise demand shaping is critical for the electrical power grid. With residential and small-business customers, a distributed approach to demand shaping is desirable for reasons of scalability and of privacy. The Color Power architecture [1] provides such an approach, but the controller previously used was badly limited. We now present an improved control algorithm, Color Power 2.0, based on stochastic constraint satisfaction, which provides major improvements in capability and performance over the prior algorithm. Analysis shows that its performance is within a small constant factor of optimal, and these results are confirmed empirically on simulated networks of 100 to 1 million devices.
Keywords :
constraint satisfaction problems; control engineering computing; demand side management; distributed control; power grids; ColorPower 2.0 architecture; demand shaping; electrical power grid; energy demand management; fast precise distributed control; improved control algorithm; optimal small constant factor; privacy reasons; residential customers; scalability reasons; simulated networks; small-business customers; stochastic constraint satisfaction; Algorithm design and analysis; Color; Convergence; Resource management; Steady-state; Switches; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2012 IEEE Sixth International Conference on
Conference_Location :
Lyon
ISSN :
1949-3673
Print_ISBN :
978-1-4673-3126-5
Type :
conf
DOI :
10.1109/SASO.2012.12
Filename :
6394125
Link To Document :
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