Real-time pricing-based scheduling strategy in smart grids: a hierarchical game approach
type: Item
instance of: scholarly article
title: Real-time pricing-based scheduling strategy in smart grids: a hierarchical game approach
zbMATH Open document ID: 1406.90050
DOI: 10.1155/2014/329656
author: Jie Yang
author: Guoshan Zhang
author: Kai Ma
published in: Journal of Applied Mathematics
publication date: 2019-02-01T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 91A65
Mathematics Subject Classification ID: 91A80
zbMATH DE Number: 7010603
Wikidata QID: Q59050969
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/329656
OpenAlex ID: W2060096015
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description: scientific article; zbMATH DE number 7010603