Application of an Appliance Scheduling Algorithm for Demand Response Program

Demand Response is the need of the hour in today’s world, seeing the looming dearth of energy against the energy demand increase. Device scheduling plays a crucial role for energy management from consumer’s perspective. In this work, an algorithm has been developed to facilitate the scheduling of appliances. The implementation has been done on a real database(both Time of Day pricing and Real Time pricing). Results show that optimzing the scheduling of appliances for Real Time pricing is providing a better profit margin by reducing the total cost price by 25%-60% as compared to the constant pricing model, with Time of Day also following behind it accordingly. Also, there is reduction in maximum power to average power ratio by 20% for all the three pricing models when compared to their initial conditions.