@inproceedings{2a190c418e6249238dc80b155ef3cc9f,
title = "A Stackelberg game for multi-period demand response management in the smart grid",
abstract = "This paper 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 that the multi-period scheme, compared with the single-period case, provides more incentives for the users to participate in the game. A necessary and sufficient condition on the minimum budget needed for a user to participate is provided.",
keywords = "Companies, Energy storage, Games, Load management, Optimization, Reliability, Smart grids",
author = "Khaled Alshehri and Ji Liu and Xudong Chen and Tamer Ba{\c s}ar",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 54th IEEE Conference on Decision and Control, CDC 2015 ; Conference date: 15-12-2015 Through 18-12-2015",
year = "2015",
month = feb,
day = "8",
doi = "10.1109/CDC.2015.7403145",
language = "English (US)",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5889--5894",
booktitle = "54rd IEEE Conference on Decision and Control,CDC 2015",
address = "United States",
}