Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106767
Title: Deferrable load scheduling under imperfect data communication channel
Authors: Dong, Qiumin
Niyato, Dusit
Wang, Ping
Han, Zhu
Keywords: Incomplete Price Information
Demand-side Management
Engineering::Computer science and engineering
Issue Date: 2014
Source: Dong, Q., Niyato, D., Wang, P., & Han, Z. (2015). Deferrable load scheduling under imperfect data communication channel. Wireless Communications and Mobile Computing, 15(17), 2049-2064. doi:10.1002/wcm.2477
Series/Report no.: Wireless Communications and Mobile Computing
Abstract: In smart grid, the real‐time pricing is implemented to motivate power consumers to change their consumption profile dynamically. With the real‐time pricing, a deferrable load can be scheduled by its scheduler optimally so that the power consumption cost will be minimized. However, when the data communication in smart grid suffers from interference, congestion, malfunction in devices, or even cyber attack, it is possible that the power price information cannot be transmitted successfully to the scheduler. As a result, the scheduling performance will be negatively affected by the suboptimal decision‐making because of incomplete power price information. To overcome this problem, a partially observable Markov decision process based deferrable load scheduling algorithm is proposed. Besides, the implementation of a standby alternative channel with the purpose to improve the reliability of the data communication in smart grid is also discussed in this paper. The numerical results show that the proposed partially observable Markov decision process based algorithm and the implementation of standby channel can effectively improve the scheduling performance when the scheduler lacks actual price information.
URI: https://hdl.handle.net/10356/106767
http://hdl.handle.net/10220/48978
ISSN: 1530-8669
DOI: 10.1002/wcm.2477
Rights: © 2014 John Wiley & Sons, Ltd. published by Hindawi Publishing Corporation. This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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