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

Jie Yang | Zendy; Guoshan Zhang | Zendy; Kai Ma | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Jie Yang,

Guoshan Zhang,

Kai Ma

Publication year - 2014

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2014/329656

Subject(s) - computer science , scheduling (production processes) , uniqueness , smart grid , nash equilibrium , backward induction , mathematical optimization , demand response , game theory , dynamic pricing , distributed computing , mathematical economics , economics , microeconomics , engineering , mathematics , electricity , mathematical analysis , electrical engineering

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research