PROJECT TITLE :

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

ABSTRACT:

Facilitated by advanced info and Communication technologies (ICT) infrastructure and optimization techniques, Smart Grid has the potential to bring vital edges to the energy consumption management. This paper presents a game theoretic consumption scheduling framework based on the utilization of mixed integer programming (MIP) to schedule consumption arrange for residential shoppers. In particular, the optimization framework incorporates integration of domestically generated renewable energy in order to attenuate dependency on standard energy and the consumption value. The game theoretic model is designed to coordinatively manage the scheduling of appliances of shoppers. The Nash equilibrium of the game exists and also the scheduling optimization converges to an equilibrium where all customers will profit from participating in. Simulation results are presented to demonstrate the proposed approach and the benefits of home demand management.