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dc.contributor.authorZhang, B.en_US
dc.contributor.authorCaramanis, M. C.en_US
dc.contributor.authorBaillieul, Johnen_US
dc.date.accessioned2018-06-11T15:32:29Z
dc.date.available2018-06-11T15:32:29Z
dc.identifierhttp://arxiv.org/abs/1403.4828v2
dc.identifier.citationB Zhang, MC Caramanis, J Baillieul. "Optimal Provision of Distributed Reserves Under Dynamic Energy Service Preferences."
dc.identifier.urihttps://hdl.handle.net/2144/29264
dc.description.abstractWe propose and solve a stochastic dynamic programming (DP) problem addressing the optimal provision of regulation service reserves (RSR) by controlling dynamic demand preferences in smart buildings. A major contribution over past dynamic pricing work is that we pioneer the relaxation of static, uniformly distributed utility of demand. In this paper we model explicitly the dynamics of energy service preferences leading to a non-uniform and time varying probability distribution of demand utility. More explicitly, we model active and idle duty cycle appliances in a smart building as a closed queuing system with price-controlled arrival rates into the active appliance queue. Focusing on cooling appliances, we model the utility associated with the transition from idle to active as a non-uniform time varying function. We (i) derive an analytic characterization of the optimal policy and the differential cost function, and (ii) prove optimal policy monotonicity and value function convexity. These properties enable us to propose and implement a smart assisted value iteration (AVI) algorithm and an approximate DP (ADP) that exploits related functional approximations. Numerical results demonstrate the validity of the solution techniques and the computational advantage of the proposed ADP on realistic, large-state-space problems.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectApproximate dynamics programmingen_US
dc.subjectSmart griden_US
dc.subjectElectricity demand responseen_US
dc.subjectRegulation service reservesen_US
dc.titleOptimal provision of distributed reserves under dynamic energy service preferencesen_US
dc.typeArticleen_US
pubs.elements-sourcemanual-entryen_US
pubs.notes16 pages, 11 figures, submitted to IEEE Transactions to Automatic Controlen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Engineeringen_US
pubs.organisational-groupBoston University, College of Engineering, Department of Mechanical Engineeringen_US
pubs.publication-statusSubmitteden_US
dc.identifier.orcid0000-0002-5009-0708 (Baillieul, J)


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