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dc.contributor.authorZhou, Datong P.
dc.contributor.authorTomlin, Claire J.
dc.contributor.authorRoozbehani, Mardavij
dc.contributor.authorDahleh, Munther A
dc.date.accessioned2017-07-21T19:33:55Z
dc.date.available2017-07-21T19:33:55Z
dc.date.issued2017-07
dc.date.submitted2017-05
dc.identifier.isbn978-1-5090-5992-8
dc.identifier.urihttp://hdl.handle.net/1721.1/110808
dc.description.abstractThis paper analyzes stability conditions for wholesale electricity markets under real-time retail pricing and realistic consumption models with memory, which explicitly take into account previous electricity prices and consumption levels. By passing on the current retail price of electricity from supplier to consumer and feeding the observed consumption back to the supplier, a closed-loop dynamical system for electricity prices and consumption arises whose stability is to be investigated. Under mild assumptions on the generation cost of electricity and consumers' backlog disutility functions, we show that, for consumer models with price memory only, market stability is achieved if the ratio between the consumers' marginal backlog disutility and the suppliers' marginal cost of supply remains below a fixed threshold. Further, consumer models with price and consumption memory can result in greater stability regions and faster convergence to the equilibrium compared to models with price memory alone, if consumption deviations from nominal demand are adequately penalized.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.23919/ACC.2017.7963254en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleStability analysis of wholesale electricity markets under dynamic consumption models and real-time pricingen_US
dc.typeArticleen_US
dc.identifier.citationZhou, Datong P. et al. “Stability Analysis of Wholesale Electricity Markets under Dynamic Consumption Models and Real-Time Pricing.” 2017 American Control Conference (ACC), Seattle, Washington, USA, 24-26 May, 2017. IEEE, 2017. 2048–2053.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorRoozbehani, Mardavij
dc.contributor.mitauthorDahleh, Munther A
dc.relation.journal2017 American Control Conference (ACC)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsZhou, Datong P.; Roozbehani, Mardavij; Dahleh, Munther A.; Tomlin, Claire J.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1470-2148
mit.licenseOPEN_ACCESS_POLICYen_US


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