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oai:www.ideals.illinois.edu:2142/88959 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

en Copyright 2015 Khaled Alshehri Smart Grid Game Theory Basar, Tamer Alshehri, Khaled Mohammed A 2016-03-02T19:33:19Z 2016-03-02T19:33:19Z 2015-10-30 2015-12 This thesis studies a multi-period demand response management problem in the smart grid where multiple utility companies compete among themselves. The user-utility interactions are modeled by a noncooperative game of a Stackelberg type where the interactions among the utility companies are captured through a Nash equilibrium. It is shown that this game has a unique Stackelberg equilibrium at which the utility companies set prices to maximize their revenues (within a Nash game) while the users respond accordingly to maximize their utilities subject to their budget constraints. Closed-form expressions are provided for the corresponding strategies of the users and the utility companies. It is shown, both analytically and numerically, that the multi-period scheme, compared with the single-period one, provides more incentives for energy consumers to participate in demand response programs. A necessary and sufficient condition on the minimum budget needed for a user to participate is provided. The large population regime is also investigated and an appropriate company-to-user ratio is provided. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-03-02 without embargo terms The student, Khaled Alshehri, accepted the attached license on 2015-10-28 at 13:13. The student, Khaled Alshehri, submitted this Thesis for approval on 2015-10-28 at 17:17. This Thesis was approved for publication on 2015-10-30 at 13:36. DSpace SAF Submission Ingestion Package generated from Vireo submission #8717 on 2016-03-02 at 12:49:29 Made available in DSpace on 2016-03-02T19:33:19Z (GMT). No. of bitstreams: 2 ALSHEHRI-THESIS-2015.pdf: 411812 bytes, checksum: da008bb376644f24a9265f1808a1b38a (MD5) LICENSE.txt: 4212 bytes, checksum: 0c99b88953ab05fc7485a4c1459f8901 (MD5) Previous issue date: 2015-10-30 application/pdf http://hdl.handle.net/2142/88959 Multi-period demand response management in the smart grid: a Stackelberg game approach text text Electrical & Computer Engineering Electrical & Computer Engineering University of Illinois at Urbana-Champaign Thesis M.S.