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Smart finite state devices: A modeling framework for demand response technologies
- Source :
- arXiv, CDC/ECC
- Publication Year :
- 2011
- Publisher :
- Institute of Electrical and Electronics Engineers, 2011.
-
Abstract
- 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.<br />8 pages, 8 figures, submitted IEEE CDC 2011
- Subjects :
- business.industry
Computer science
Stochastic modelling
Markov process
Control engineering
Systems and Control (eess.SY)
Thermostat
law.invention
Demand response
symbols.namesake
Load management
law
Optimization and Control (math.OC)
symbols
FOS: Electrical engineering, electronic engineering, information engineering
FOS: Mathematics
Computer Science - Systems and Control
Electricity
Markov decision process
business
Mathematics - Optimization and Control
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- arXiv, CDC/ECC
- Accession number :
- edsair.doi.dedup.....397a4d4996ee8d393bef201c9251ea50