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Game theoretic market driven smart home scheduling considering energy balancing

Game theoretic market driven smart home scheduling considering energy balancing
Game theoretic market driven smart home scheduling considering energy balancing
In a smart community infrastructure that consists of multiple smart homes, smart controllers schedule various home appliances to balance energy consumption and reduce electricity bills of customers. In this paper, the impact of the smart home scheduling to the electricity market is analyzed with a new smart-home-aware bi-level market model. In this model, the customers schedule home appliances for bill reduction at the community level, whereas aggregators minimize the energy purchasing expense from utilities at the market level, both of which consider the smart home scheduling impacts. A game-theoretic algorithm is proposed to solve this formulation that handles the bidirectional influence between both levels. Comparing with the electricity market without smart home scheduling, our proposed infrastructure balances the energy load through reducing the peak-to-average ratio by up to 35.9%, whereas the average customer bill is reduced by up to 34.3%.
1932-8184
910-921
Liu, Yang
c21f6e3a-9e28-4f55-8531-f122f2f9e3c8
Hu, Shiyan
19bb09b2-bf52-4bd7-818a-63e8da474072
Huang, Han
8d79ce1b-6131-4832-9ad0-325a9b149f77
Ranjan, Rajiv
48da4624-cb7b-4d1b-86d1-17372368e41b
Zomaya, Albert
15233270-e75f-483c-8306-d42d945d872f
Wang, Lizhe
a4ca0593-4b0c-4786-81a2-14efdc03695a
Liu, Yang
c21f6e3a-9e28-4f55-8531-f122f2f9e3c8
Hu, Shiyan
19bb09b2-bf52-4bd7-818a-63e8da474072
Huang, Han
8d79ce1b-6131-4832-9ad0-325a9b149f77
Ranjan, Rajiv
48da4624-cb7b-4d1b-86d1-17372368e41b
Zomaya, Albert
15233270-e75f-483c-8306-d42d945d872f
Wang, Lizhe
a4ca0593-4b0c-4786-81a2-14efdc03695a

Liu, Yang, Hu, Shiyan, Huang, Han, Ranjan, Rajiv, Zomaya, Albert and Wang, Lizhe (2017) Game theoretic market driven smart home scheduling considering energy balancing. IEEE Systems Journal, 11 (2), 910-921. (doi:10.1109/JSYST.2015.2418032).

Record type: Article

Abstract

In a smart community infrastructure that consists of multiple smart homes, smart controllers schedule various home appliances to balance energy consumption and reduce electricity bills of customers. In this paper, the impact of the smart home scheduling to the electricity market is analyzed with a new smart-home-aware bi-level market model. In this model, the customers schedule home appliances for bill reduction at the community level, whereas aggregators minimize the energy purchasing expense from utilities at the market level, both of which consider the smart home scheduling impacts. A game-theoretic algorithm is proposed to solve this formulation that handles the bidirectional influence between both levels. Comparing with the electricity market without smart home scheduling, our proposed infrastructure balances the energy load through reducing the peak-to-average ratio by up to 35.9%, whereas the average customer bill is reduced by up to 34.3%.

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More information

e-pub ahead of print date: 8 May 2015
Published date: June 2017

Identifiers

Local EPrints ID: 438343
URI: http://eprints.soton.ac.uk/id/eprint/438343
ISSN: 1932-8184
PURE UUID: 7ec9ea64-8e7d-4bfe-8a99-038468080c8a

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Date deposited: 06 Mar 2020 17:30
Last modified: 18 May 2020 16:43

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Contributors

Author: Yang Liu
Author: Shiyan Hu
Author: Han Huang
Author: Rajiv Ranjan
Author: Albert Zomaya
Author: Lizhe Wang

University divisions

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