Multi-energy Demand Response Management in Energy Internet: A Stackelberg Game Approach

WU Jie; ZHOU Wenhui; ZHONG Weifeng; LIU Jinhua

doi:10.1049/cje.2019.03.011

Volume 28 Issue 3

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WU Jie, ZHOU Wenhui, ZHONG Weifeng, et al., “Multi-energy Demand Response Management in Energy Internet: A Stackelberg Game Approach,” Chinese Journal of Electronics, vol. 28, no. 3, pp. 640-644, 2019, doi: 10.1049/cje.2019.03.011

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WU Jie, ZHOU Wenhui, ZHONG Weifeng, et al., “Multi-energy Demand Response Management in Energy Internet: A Stackelberg Game Approach,” Chinese Journal of Electronics, vol. 28, no. 3, pp. 640-644, 2019, doi: 10.1049/cje.2019.03.011

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Multi-energy Demand Response Management in Energy Internet: A Stackelberg Game Approach

doi: 10.1049/cje.2019.03.011

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

Funds: This work is supported by the National Natural Science Foundation of China (No.61603099, No.61773126) and the Pearl River S&T Nova Program of Guangzhou (No.201806010176).

More Information

Corresponding author: ZHOU Wenhui (corresponding author) was born in 1972. He is now a professor with the Zhongshan Institute, University of Electronic Science and Technology of China. His research interest lies in smart grid. (Email:zwhmailbox@tom.com)
Received Date: 2018-02-27
Publish Date: 2019-05-10

Abstract

Abstract

A multi-energy Demand response management (DRM) approach in Energy Internet is proposed by employing Stackelberg game theory. The multi-energy trading problem in DRM is formulated as a Stackelberg game, where an energy provider, as a leader, adjusts energy prices, and residential smart energy hubs, as followers, dynamically schedule multiple energy flows according to the prices. The existence and uniqueness of the equilibrium of the proposed game model are analyzed. A multi-energy DRM algorithm for reaching the game equilibrium is developed. Simulation results show that the proposed game-based approach can effectively reduce residential energy costs and improve revenues of the energy provider.
- Multi-energy demand response management(DRM),
- Energy hubs,
- Energy Internet,
- Stackelberg game

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References(17)

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