Electricity Consumption Scheduling with Consumers' Comfort and Preference in Smart Grid

ZHOU Wenhui; WU Jie; ZHONG Weifeng; ZOU Sheng

doi:10.1049/cje.2016.08.037

Volume 25 Issue 6

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ZHOU Wenhui, WU Jie, ZHONG Weifeng, et al., “Electricity Consumption Scheduling with Consumers' Comfort and Preference in Smart Grid,” Chinese Journal of Electronics, vol. 25, no. 6, pp. 1151-1158, 2016, doi: 10.1049/cje.2016.08.037

Citation:

ZHOU Wenhui, WU Jie, ZHONG Weifeng, et al., “Electricity Consumption Scheduling with Consumers' Comfort and Preference in Smart Grid,” Chinese Journal of Electronics, vol. 25, no. 6, pp. 1151-1158, 2016, doi: 10.1049/cje.2016.08.037

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Electricity Consumption Scheduling with Consumers' Comfort and Preference in Smart Grid

doi: 10.1049/cje.2016.08.037

1.
Faculty of Automation, Guangdong University of Technology, Guangzhou 510006, China;
2.
Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China;
3.
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61422201, No.61370159, No.U1201253), the High Education Excellent Young Teacher Program of Guangdong Province (No.YQ2013057), and the Science and Technology Program of Guangzhou (No.2014J2200097) through the Zhujiang New Star Program.

Received Date: 2015-10-23
Rev Recd Date: 2015-12-26
Publish Date: 2016-11-10

Abstract

Abstract

A game theory based scheduling method for household electricity consumption in smart grid is proposed in this paper. A non-cooperative game model is employed during the scheduling. All household consumers compete with each other and control their loads to maximize their payoffs. For solving the scheduling problem, we formulate the Utility optimization (UO) model, in which the electricity cost reduction and the improvement of consumers' comfort and preference are considered simultaneously. The System optimization (SO) model only minimizes the electricity cost when scheduling the consumers' electricity consumption. Then we compare and analyze the two models in numerical simulation. The existence and the uniqueness of Nash equilibrium for proposed game model are proved. Simulation results show that the UO model provides an effective scheduling approach to achieve higher comfort and preference and at the same time decrease the energy cost.
- Game theory,
- Electricity consumption scheduling,
- Comfort and preference

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References(15)

References

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