A Game Theoretic Optimization Framework for Home Demand Management Incorporating Local Energy Resources

Facilitated by advanced information and communication technologies (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...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2015-04, Vol.11 (2), p.353-362
Main Authors: Ziming Zhu, Lambotharan, Sangarapillai, Woon Hau Chin, Zhong Fan
Format: Article
Language:English
Subjects:
Consumers
Consumption
Demand
Energy consumption
Game theory
Games
Home appliances
home demand management
Job shop scheduling
Management
Nash equilibrium
Optimization
Scheduling
Smart grids
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Summary:Facilitated by advanced information and communication technologies (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 (MIP) to schedule consumption plan for residential consumers. In particular, the optimization framework incorporates integration of locally generated renewable energy in order to minimize 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.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2015.2390035