Smart finite state devices: A modeling framework for demand response technologies
Author(s)Turitsyn, Konstantin; Backhaus, Scott; Ananyev, Maxim; Chertkov, Michael
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We introduce and analyze Markov Decision Process (MDP) machines to model individual devices which are expected to participate in future demand-response markets on distribution grids. We differentiate devices into the following four types: (a) optional loads that can be shed, e.g. light dimming; (b) deferrable loads that can be delayed, e.g. dishwashers; (c) controllable loads with inertia, e.g. thermostatically-controlled loads, whose task is to maintain an auxiliary characteristic (temperature) within pre-defined margins; and (d) storage devices that can alternate between charging and generating. Our analysis of the devices seeks to find their optimal price-taking control strategy under a given stochastic model of the distribution market.
DepartmentMassachusetts Institute of Technology. Department of Mechanical Engineering
Proceedings of the 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC)
Institute of Electrical and Electronics Engineers
Turitsyn, Konstantin, Scott Backhaus, Maxim Ananyev, and Michael Chertkov. Smart Finite State Devices: A Modeling Framework for Demand Response Technologies. In IEEE Conference on Decision and Control and European Control Conference, 7-14. Institute of Electrical and Electronics Engineers, 2011.
Author's final manuscript