A game theoretic optimization framework for home demand management incorporating local energy resources
journal contributionposted on 17.08.2018 by Ziming Zhu, Sangarapillai Lambotharan, Woon Hau Chin, Zhong Fan
Any type of content formally published in an academic journal, usually following a peer-review process.
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.
- Mechanical, Electrical and Manufacturing Engineering