Supply and demand management system based on consumption pattern analysis and tariff for cost minimization

In this paper, we propose a supply and demand management system based on information on the power consumption pattern analysis and the tariff for HEMS(Home Energy Management System) of KEPCO(Korea Electric Power COrporation) for cost minimization. The scheduler of a supply and demand management system decides the curtailment level for the dropped appliances based on information about the predicted power consumption amount, the predicted renewable energy generation amount, and the tariff. We get the effect of the cost minimization on power consumption for home area user using constraints to decide the optimal curtailment level.