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A game theoretic optimization framework for home demand management incorporating local energy resources

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posted on 17.08.2018 by Ziming Zhu, Sangarapillai Lambotharan, Woon Hau Chin, Zhong Fan
Facilitated by advanced ICT infrastructure and optimization techniques, smart grid has the potential to bring significant benefits to the energy consumption management. This paper presents a game theoretic consumption scheduling framework based on the use of mixed integer programming to schedule consumption plan for residential consumers. In particular, the optimization framework incorporates integration of locally generated renewable energy in order to minimise dependency on conventional energy and the consumption cost. The game theoretic model is designed to coordinatively manage the scheduling of appliances of consumers. The Nash equilibrium of the game exists and the scheduling optimization converges to an equilibrium where all consumers can benefit from participating in. Simulation results are presented to demonstrate the proposed approach and the benefits of home demand management.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Industrial Informatics

Citation

ZHU, Z. ... et al., 2015. A game theoretic optimization framework for home demand management incorporating local energy resources. IEEE Transactions on Industrial Informatics, 11(2), pp. 353-362.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Acceptance date

01/01/2015

Publication date

2015

Notes

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISSN

1941-0050

eISSN

1941-0050

Language

en

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