WU Jie, ZHOU Wenhui, ZHONG Weifeng, LIU Jinhua. Multi-energy Demand Response Management in Energy Internet: A Stackelberg Game Approach[J]. Chinese Journal of Electronics, 2019, 28(3): 640-644. doi: 10.1049/cje.2019.03.011
Citation: WU Jie, ZHOU Wenhui, ZHONG Weifeng, LIU Jinhua. Multi-energy Demand Response Management in Energy Internet: A Stackelberg Game Approach[J]. Chinese Journal of Electronics, 2019, 28(3): 640-644. doi: 10.1049/cje.2019.03.011

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

doi: 10.1049/cje.2019.03.011
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).
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  • 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
  • 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.
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  • H. Zhang, Y. Li, D.W. Gao and J. Zhou, "Distributed optimal energy management for energy internet", IEEE Transactions on Industrial Informatics, Vol.13, No.6, pp.3081-3097, 2017.
    M. Geidl, G. Koeppel, P. Favre-Perrod, et al., "Energy hubs for the future", IEEE power and energy magazine, Vol.5, No.1, pp.24-30, 2007.
    W. Zhong, K. Xie, C. Yang, et al., "ADMM-based distributed auction mechanism for energy hub scheduling in smart buildings", IEEE Access, Vol.6, pp.45635-45645, 2018.
    P. Palensky and D. Dietrich, "Demand side management:Demand response, intelligent energy systems, and smart loads", IEEE transactions on industrial informatics, Vol.7, No.3, pp.381-388, 2011.
    S. Maharjan, Q. Zhu, Y. Zhang, et al., "Dependable demand response management in the smart grid:a Stackelberg game approach", IEEE Transactions on Smart Grid, Vol.4, No.1, pp.120-132, 2013.
    B. Chai, J. Chen, Z. Yang and Y. Zhang, "Demand response management with multiple utility companies:a two-level game approach", IEEE Transactions on Smart Grid, Vol.5, No.2, pp.722-731, 2014.
    Y. Dai, Y. Gao, H. Gao and H. Zhu, "Real-time pricing scheme based on Stackelberg game in smart grid with multiple power retailers", Neurocomputing, Vol.260, pp.149-156, 2017.
    A. Sheikhi, S. Bahrami and A.M. Ranjbar, "An autonomous demand response program for electricity and natural gas networks in smart energy hubs", Energy, Vol.89, pp.490-499, 2015.
    A. Sheikhi, M. Rayati, S. Bahrami, et al., "A cloud computing framework on demand side management game in smart energy hubs", Energy, Vol.64, pp.1007-1016, 2015.
    J. Wu, W. Zhou, W. Zhong, et al., "Dual energy scheduling for microgrids in energy internet:A non-cooperative game approach", Proc. of IEEE International Conference on Energy Internet, Beijing, China, pp.48-52, 2017.
    P. Samadi, A.H.M. Rad, R. Schober, et al.,"Advanced demand side management for the future smart grid using mechanism design", IEEE Transactions on Smart Grid, Vol.3, No.3, pp.1170-1180, 2012.
    W. Zhou, J. Wu, W. Zhong, 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.
    C. Yang, W. Lou, J. Yao, et al., "On charging scheduling optimization for a wirelessly charged electric bus system", IEEE Transactions on Intelligent Transportation Systems, 2017, Vol.19, No.6, pp.1814-1826, 2018.
    Y. Liu, C. Yuen, N.U. Hassan, et al., "Electricity cost minimization for a microgrid with distributed energy resource under different information availability", IEEE Transactions on Industrial Informatics, Vol.62, No.4, pp.2571-2583, 2015.
    Y. Liu, C. Yuen, R. Yu, et al., "Queuing-based energy consumption management for heterogeneous residential demands in smart grid", IEEE Transactions on Smart Grid, Vol.7, No.3, pp.1650-1659, 2016.
    D. Monderer and L.S. Shapley, "Potential games", Games and Economic Behavior, Vol.14, No.1, pp.124-143, 1996.
    S. Boyd, L. Vandenberghe, "Convex Optimization", Cambridge University Press, New York, USA, pp.654-656, 2004.
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