Autonomous demand side management algorithm design using game theory

Abstract

As Technologies is rapidly growing in this world, the important of data analyzing, data collecting, data sharing will be more significant. It is expected that Demand Side Management will become the part of our lives. In this final year project report, we represent Energy Consumption scheduler (ECS) base on game theory will be designed to optimize the energy consumption and Peak-to-Average Ration (PAR).

Although there are many existed demand-side management programs is focus between utility and user’s interaction. Our ECS is designed based on game theory that allow users to interact between users and do not share their information to other users.

By implementing ECS, we show that energy consumption scheduling game allow users to get incentives from their participation. Also, the result can confirm that the total energy demand, PAR and individual user’s daily electricity charge will be reduce.