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

Jie Yang, Guoshan Zhang and Kai Ma

Journal of Applied Mathematics, 2014, vol. 2014, issue 1

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.

Date: 2014
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https://doi.org/10.1155/2014/329656

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2014:y:2014:i:1:n:329656

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