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Content Provider | IEEE Xplore Digital Library |
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Author | Atzeni, I. Ordonez, L.G. Scutari, G. Palomar, D.P. Fonollosa, J.R. |
Copyright Year | 2012 |
Description | Author affiliation: Dept. of Electrical Engineering, State University of New York (SUNY) at Buffalo, USA (Scutari, G.) || Signal Processing and Communications Group, Universitat Politècnica de Catalunya - Barcelona Tech, SPAIN (Atzeni, I.; Ordonez, L.G.; Fonollosa, J.R.) || Dept. of Electric and Computer Engineering, Hong Kong University of Science and Technology (HKUST), HK (Palomar, D.P.) |
Abstract | Day-ahead DSM techniques in the smart grid allow the supply-side to know in advance an estimation of the amount of energy to be provided to the demand-side during the upcoming day. However, a pure day-ahead optimization process cannot accommodate potential real-time deviations from the expected energy consumption by the demand-side users, neither the randomness of their renewable sources. This paper proposes a day-ahead bidding system based on a pricing model that combines: i) a price per unit of energy depending on the day-ahead bid energy needs of the demand-side users, and ii) a penalty system that limits the real-time fluctuations around the bid energy loads. In this day-ahead bidding process, demand-side users, possibly having energy production and storage capabilities, are interested in minimizing their expected monetary expense. The resulting optimization problem is formulated as a noncooperative game and is solved by means of suitable distributed algorithms. Finally, the proposed procedure is tested in a realistic setup. |
Starting Page | 91 |
Ending Page | 96 |
File Size | 551600 |
Page Count | 6 |
File Format | |
ISBN | 9781467309103 |
e-ISBN | 9781467309097 |
DOI | 10.1109/SmartGridComm.2012.6485965 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-11-05 |
Publisher Place | Taiwan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Energy consumption Aggregates Games Production Pricing Load modeling Energy storage |
Content Type | Text |
Resource Type | Article |
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