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