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Journal of Applied Mathematics
Volume 2014, Article ID 329656, 8 pages
Research Article

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

1School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
2School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Received 15 October 2013; Accepted 12 February 2014; Published 1 April 2014

Academic Editor: Hongjie Jia

Copyright © 2014 Jie Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.