A Bayesian mean field game approach to supply demand analysis of the smart grid

Maryam Kamgarpour, Hamidou Tembine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

We explore a game theoretic framework for multiple energy producers competing in energy market. Each producer, referred to as a player, optimizes its own objective function given the demand utility. The equilibrium strategy of each player depends on the production cost, referred to as type, of the other players. We show that as the number of players increases, the mean of the types is sufficient for finding the equilibrium. For finite number of players, we design a mean field distributed learning algorithm that converges to equilibrium. We discuss extensions of our model to include several realistic aspects of the energy market. © 2013 IEEE.
Original languageEnglish (US)
Title of host publication2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages211-215
Number of pages5
ISBN (Print)9781479908578
DOIs
StatePublished - Jul 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

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