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Real-Time Pricing-Based Scheduling Strategy in Smart Grids: A Hierarchical Game Approach

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  • Jie Yang
  • Guoshan Zhang
  • Kai Ma

Abstract

This paper proposes a scheduling strategy based on real-time pricing in smart grids. A hierarchical game is employed to analyze the decision-making process of generators and consumers. We prove the existence and uniqueness of Nash equilibrium and utilize a backward induction method to obtain the generation and consumption strategies. Then, we propose two dynamic algorithms for the generators and consumers to search for the equilibrium in a distributed fashion. Simulation results demonstrate that the proposed scheduling strategy can match supply with demand and shift load away from peak time.

Suggested Citation

  • Jie Yang & Guoshan Zhang & Kai Ma, 2014. "Real-Time Pricing-Based Scheduling Strategy in Smart Grids: A Hierarchical Game Approach," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-8, April.
    • Handle: RePEc:hin:jnljam:329656
    DOI: 10.1155/2014/329656
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    Cited by:

    1. Ma, Tengfei & Pei, Wei & Xiao, Hao & Kong, Li & Mu, Yunfei & Pu, Tianjiao, 2020. "The energy management strategies based on dynamic energy pricing for community integrated energy system considering the interactions between suppliers and users," Energy, Elsevier, vol. 211(C).
    2. Tengfei Ma & Junyong Wu & Liangliang Hao & Huaguang Yan & Dezhi Li, 2018. "A Real-Time Pricing Scheme for Energy Management in Integrated Energy Systems: A Stackelberg Game Approach," Energies, MDPI, vol. 11(10), pages 1-19, October.

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