Deferrable load scheduling of smart meter with intermittent communication connection
The demand response program in smart grid implements real-time pricing to reduce power consumption during peak hours. However, sometimes a smart meter cannot receive the price information due to the failure happened in the smart meter's or the neighborhood area network gateway's communicat...
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sg-ntu-dr.10356-959172020-05-28T07:17:28Z Deferrable load scheduling of smart meter with intermittent communication connection Dong, Qiumin Niyato, Dusit Wang, Ping Gong, Shimin School of Computer Engineering IEEE International Conference on Smart Grid Communications (3rd : 2012 : Tainan, Taiwan) DRNTU::Engineering::Computer science and engineering The demand response program in smart grid implements real-time pricing to reduce power consumption during peak hours. However, sometimes a smart meter cannot receive the price information due to the failure happened in the smart meter's or the neighborhood area network gateway's communication interface. In this paper, we study the deferrable load scheduling problem in a scenario where the data connection used to transmit the price information can be intermittent. We formulate a partially observable Markov decision process (POMDP) model to obtain the optimal price inquiry policy for the smart meter when it cannot receive the real-time price information. Then given the power price information, a Markov decision process (MDP) is formulated and solved for the deferrable load scheduling problem. The numerical results obtained in this paper can be used to set parameters properly according to different scheduling requirement. 2013-07-22T06:32:20Z 2019-12-06T19:23:19Z 2013-07-22T06:32:20Z 2019-12-06T19:23:19Z 2012 2012 Conference Paper Dong, Q., Niyato, D., Wang, P., & Gong, S. (2012). Deferrable load scheduling of smart meter with intermittent communication connection. 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm). https://hdl.handle.net/10356/95917 http://hdl.handle.net/10220/11989 10.1109/SmartGridComm.2012.6485966 en © 2012 IEEE. |
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DRNTU::Engineering::Computer science and engineering Dong, Qiumin Niyato, Dusit Wang, Ping Gong, Shimin Deferrable load scheduling of smart meter with intermittent communication connection |
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The demand response program in smart grid implements real-time pricing to reduce power consumption during peak hours. However, sometimes a smart meter cannot receive the price information due to the failure happened in the smart meter's or the neighborhood area network gateway's communication interface. In this paper, we study the deferrable load scheduling problem in a scenario where the data connection used to transmit the price information can be intermittent. We formulate a partially observable Markov decision process (POMDP) model to obtain the optimal price inquiry policy for the smart meter when it cannot receive the real-time price information. Then given the power price information, a Markov decision process (MDP) is formulated and solved for the deferrable load scheduling problem. The numerical results obtained in this paper can be used to set parameters properly according to different scheduling requirement. |
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School of Computer Engineering |
author_facet |
School of Computer Engineering Dong, Qiumin Niyato, Dusit Wang, Ping Gong, Shimin |
format |
Conference or Workshop Item |
author |
Dong, Qiumin Niyato, Dusit Wang, Ping Gong, Shimin |
author_sort |
Dong, Qiumin |
title |
Deferrable load scheduling of smart meter with intermittent communication connection |
title_short |
Deferrable load scheduling of smart meter with intermittent communication connection |
title_full |
Deferrable load scheduling of smart meter with intermittent communication connection |
title_fullStr |
Deferrable load scheduling of smart meter with intermittent communication connection |
title_full_unstemmed |
Deferrable load scheduling of smart meter with intermittent communication connection |
title_sort |
deferrable load scheduling of smart meter with intermittent communication connection |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/95917 http://hdl.handle.net/10220/11989 |
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1681059632535044096 |