Distributed Control for Small Customer Energy Demand Management

Vinayak V Ranade; Jacob Beal

doi:10.1109/SASO.2010.21

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Conference proceeding

Distributed Control for Small Customer Energy Demand Management

Vinayak V Ranade and Jacob Beal

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pp.11-20

09/2010

DOI: 10.1109/SASO.2010.21

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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.

Algorithm design and analysis

amorphous computing

demand shaping

distributed algorithms

electricity demand management

Home appliances

peak-shaving

Power demand

Power measurement

Probabilistic logic

Robustness

spatial computing

Switches

Details

Title: Subtitle: Distributed Control for Small Customer Energy Demand Management
Creators: Vinayak V Ranade - MIT CSAIL, Cambridge, MA, USA
Jacob Beal - BBN Technol., Cambridge, MA, USA
Resource Type: Conference proceeding
Publication Details: 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pp.11-20
Publisher: IEEE
DOI: 10.1109/SASO.2010.21
ISSN: 1949-3673
Language: English
Date published: 09/2010
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984627212102771

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