Ziming2015 submitted version.pdf (267.95 kB)
A game theoretic optimization framework for home demand management incorporating local energy resources
journal contribution
posted on 2018-08-17, 12:26 authored by Ziming Zhu, Sangarapillai LambotharanSangarapillai Lambotharan, Woon Hau Chin, Zhong FanFacilitated 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 InformaticsVolume
11Issue
2Pages
353 - 362Citation
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
© IEEEVersion
- AM (Accepted Manuscript)
Acceptance date
2015-01-03Publication date
2015-01-08Notes
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
1551-3203eISSN
1941-0050Publisher version
Language
- en