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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Chen Lin, W.S. Feng Han Yu-Han Yang Safar, Z. Liu, K.J.R. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USA (Yan Chen; Lin, W.S.; Feng Han; Yu-Han Yang; Safar, Z.; Liu, K.J.R.) |
| Abstract | While demand response has achieved promising results on making the power grid more efficient and reliable, the additional dynamics and flexibility brought by demand response also increase the uncertainty and complexity of the centralized load forecast. In this paper, we propose a game theoretic demand response scheme that can transform the traditional centralized load prediction structure into a distributed load prediction system by the participation of customers. Moreover, since customers are generally rational and thus naturally selfish, they may cheat if cheating can improve their payoff. Therefore, enforcing truth-telling is crucial. We prove analytically and demonstrate with simulations that the proposed game theoretic scheme is cheat-proof, i.e., all customers are motivated to report and consume their true optimal demands and any deviation will lead to a utility loss. We also prove theoretically that the proposed demand response scheme can lead to the solution that maximizes social welfare and is proportionally fair in terms of utility function. Moreover, we propose a simple dynamic pricing algorithm for the power substation to control the total demand of all customers to meet the target demand curve. Finally, simulations are shown to demonstrate the efficiency and effectiveness of the proposed game theoretic algorithm. |
| Starting Page | 3362 |
| Ending Page | 3366 |
| File Size | 277570 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457720529 |
| ISSN | 15503607 |
| e-ISBN | 9781457720536 |
| e-ISBN | 9781457720512 |
| DOI | 10.1109/ICC.2012.6364397 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-10 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Substations Load management Pricing Heuristic algorithms Games Power demand Smart grids cheat-proof Smart grid demand response game theory |
| Content Type | Text |
| Resource Type | Article |
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