Title :
Distributed Control for Small Customer Energy Demand Management
Author :
Ranade, Vinayak V. ; Beal, Jacob
Author_Institution :
MIT CSAIL, Cambridge, MA, USA
fDate :
Sept. 27 2010-Oct. 1 2010
Abstract :
We present the Colored Power algorithm, which is designed to provide collaborative electricity demand shaping for residential and small-business customers. Demand shaping for this market sector is an important and challenging problem, since the vast number of such customers collectively account for a large fraction of total electricity consumption, yet each individual\´s consumption is small. Under the PACEM system, customers participate by "coloring" their appliances with a qualitative priority such as "can be shut off at peak power." Demand shaping for this system must be scalable to millions of appliances, operate quickly and fairly across customers, and act on any given appliance infrequently. This last constraint is particularly challenging: if an appliance that switches on or off must not be switched again for many minutes, then at any instant, a large fraction of appliances may not be controllable. The Colored Power algorithm addresses these challenges using randomized local actions. When the action distribution is adjusted to compensate for currently uncontrollable appliances, standard feedback controllers can be used to produce local actions that combine to create the desired global effect. Experiments in simulation verify that the algorithm provides fair control that is fast, scalable, and robust enough to be realistically deployable.
Keywords :
demand side management; distributed control; energy management systems; feedback; power consumption; power markets; small-to-medium enterprises; PACEM system; colored power algorithm; demand shaping; distributed control; energy demand management; small-business customers; standard feedback controllers; total electricity consumption; Algorithm design and analysis; Home appliances; Power demand; Power measurement; Probabilistic logic; Robustness; Switches; amorphous computing; demand shaping; distributed algorithms; electricity demand management; peak-shaving; spatial computing;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2010 4th IEEE International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4244-8537-6
Electronic_ISBN :
978-0-7695-4232-4
DOI :
10.1109/SASO.2010.21