NDLI: Distributed Control for Small Customer Energy Demand Management

Content Provider	IEEE Xplore Digital Library
Author	Ranade, V.V. Beal, J.
Copyright Year	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.
Starting Page	11
Ending Page	20
File Size	653091
Page Count	10
File Format	PDF
ISBN	9781424485376
DOI	10.1109/SASO.2010.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-27
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Power demand peak-shaving electricity demand management Switches spatial computing amorphous computing Probabilistic logic Home appliances Power measurement distributed algorithms demand shaping Robustness
Content Type	Text
Resource Type	Article

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