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

Fan

doi:10.1109/TII.2015.2390035

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

Fan

Authors

Fan

Abstract

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.

Acceptance Date	Jan 8, 2015
Publication Date	Jan 8, 2015
Journal	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Print ISSN	1551-3203
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	353 - 362
DOI	https://doi.org/10.1109/TII.2015.2390035
Keywords	Consumption scheduling optimization, game theory, home demand management, smart grids
Publisher URL	https://ieeexplore.ieee.org/document/7004832/