DocumentCode :
114481
Title :
Unidirectional direct load control through smart plugs
Author :
Neglia, Giovanni ; Di Bella, G. ; Giarre, L. ; Tinnirello, I.
Author_Institution :
Maestro project, Inria, Sophia Antipolis, France
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
959
Lastpage :
964
Abstract :
Balancing energy demand and production is becoming a more and more challenging task for energy utilities also because of the larger penetration of renewable energies which are more difficult to predict and control. While the traditional solution is to dynamically adapt energy production to follow time-varying demand, a new trend is to drive demand itself. Most of the ongoing actions in this direction involve greedy energy consumers, like industrial plants, supermarkets or large buildings. Pervasive communication technologies may allow in the near future to push further the granularity of such approach, by having the energy utility interacting with residential appliances. In this paper we study large scale direct control of inelastic home appliances whose energy demand cannot be shaped, but simply deferred. Our solution does not suppose any particular intelligence at the appliances. The actuators are rather smart plugs-simple devices with local communication capabilities that can be inserted between appliances´ plugs and power sockets and are able to interrupt/reactivate power flow through the plug. A simple control message can be broadcast to a large set of smart plugs for probabilistically enabling or deferring the activation requests of a specific load type in order to satisfy a probabilistic bound on the aggregated power consumption. The control law can be easily derived analytically.
Keywords :
load regulation; power system control; probability; smart power grids; inelastic home appliance; power grid; probabilistic bound; smart plug; unidirectional direct load control; Home appliances; Load flow control; Plugs; Power demand; Probabilistic logic; Process control; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7039505
Filename :
7039505
Link To Document :
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