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dc.contributor.authorBitar, E.
dc.contributor.authorRajagopal, R.
dc.contributor.authorKhargonekar, P.
dc.contributor.authorPoolla, K.
dc.date.accessioned2016-02-28T06:33:13Z
dc.date.available2016-02-28T06:33:13Z
dc.date.issued2011-06
dc.identifier.citationBitar E, Rajagopal R, Khargonekar P, Poolla K (2011) The role of co-located storage for wind power producers in conventional electricity markets. Proceedings of the 2011 American Control Conference. Available: http://dx.doi.org/10.1109/ACC.2011.5991431.
dc.identifier.doi10.1109/ACC.2011.5991431
dc.identifier.urihttp://hdl.handle.net/10754/599956
dc.description.abstractIn this paper we study the problem of optimizing contract offerings for an independent wind power producer (WPP) participating in conventional day-ahead forward electricity markets for energy. As wind power is an inherently variable source of energy and is difficult to predict, we explore the extent to which co-located energy storage can be used to improve expected profit and mitigate the the financial risk associated with shorting on the offered contracts. Using a simple stochastic model for wind power production and a model for the electricity market, we show that the problem of determining optimal contract offerings for a WPP with co-located energy storage can be solved using convex programming.
dc.description.sponsorshipSupported in part by OOF991-KAUST US LIMITED under awardnumber 025478, John and Janet McMurtry Fellowship, the UC DiscoveryGrant ele07-10283 under the IMPACT program, NSF under Grant EECS-0925337, and the Florida Energy Systems Consortium.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleThe role of co-located storage for wind power producers in conventional electricity markets
dc.typeConference Paper
dc.identifier.journalProceedings of the 2011 American Control Conference
dc.contributor.institutionDepartment of Mechanical Engineering, U.C. Berkeley
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Florida
dc.contributor.institutionDepartment of Electrical Engineering and Computer Science, U.C. Berkeley
kaust.grant.number025478


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