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2014 Real-Time Pricing-Based Scheduling Strategy in Smart Grids: A Hierarchical Game Approach
Jie Yang, Guoshan Zhang, Kai Ma
J. Appl. Math. 2014(SI07): 1-8 (2014). DOI: 10.1155/2014/329656

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.

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Jie Yang. Guoshan Zhang. Kai Ma. "Real-Time Pricing-Based Scheduling Strategy in Smart Grids: A Hierarchical Game Approach." J. Appl. Math. 2014 (SI07) 1 - 8, 2014. https://doi.org/10.1155/2014/329656

Information

Published: 2014
First available in Project Euclid: 1 October 2014

zbMATH: 07010603
Digital Object Identifier: 10.1155/2014/329656

Rights: Copyright © 2014 Hindawi

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Vol.2014 • No. SI07 • 2014
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