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Content Provider | IEEE Xplore Digital Library |
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Author | Bitar, E. Yunjian Xu |
Copyright Year | 2013 |
Description | Author affiliation: Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA (Bitar, E.) || Dept. of Eng. Syst. & Design, Singapore Univ. of Technol. & Design, Singapore, Singapore (Yunjian Xu) |
Abstract | A large fraction of the total electric load is comprised of end-use devices whose demand is inherently deferrable in time. While this latent flexibility in demand can be leveraged to absorb variability in supply from renewable generation, the challenge lies in designing incentives to induce the desired response in demand. In the following, we study a novel forward market, where consumers consent to deferred service of pre-specified loads in exchange for a reduced per-unit price for energy. The longer a customer is willing to defer, the larger the reduction in price. The proposed deadline-differentiated forward contract provides a guarantee on the aggregate quantity to be delivered by a consumer-specified deadline. Under the earliest-deadline-first (EDF) scheduling policy, which is shown to be optimal for the supplier, we explicitly characterize differentiated prices yielding an efficient competitive equilibrium between supply and demand. We also show that such prices are incentive compatible (IC) in that every consumer would like to reveal her true deadline type to the supplier, provided that the other consumers are truth-telling. |
Sponsorship | IEEE Control Syst. Soc. |
Starting Page | 5620 |
Ending Page | 5627 |
File Size | 359302 |
Page Count | 8 |
File Format | |
ISBN | 9781467357142 |
ISSN | 07431546 |
e-ISBN | 9781467357173 |
DOI | 10.1109/CDC.2013.6760775 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-12-10 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Optimal scheduling Aggregates Pricing Quality of service Resource management Power systems Reliability Deadline Scheduling Incentive Compatibility Demand Response Renewable Energy Pricing Mechanisms |
Content Type | Text |
Resource Type | Article |
Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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