DSM scheduling mechanism with pricing schemes using integer linear programming

In smart grid, residential consumers adopt different load scheduling methods to manage their power consumption with specific objectives. The conventional load scheduling methods includes direct load control and demand bidding. This paper proposes a residential scheduling algorithm. The scheduling model can be integrated with the home energy scheduler interconnected to the smart meter, which facilitates the flow of price and energy consumption information to and from the household premise. Price-based demand response is modeled through fixed pricing and dynamic pricing scheme. The objective of proposed scheduling algorithm is to achieve minimum energy consumption cost to obtain periodic load schedule. The proposed scheduling is capable of scheduling the required power consumption for appliances according to their individual power consumption pattern. The proposed objective is solved using linear integer programming. For validation purpose simulation results show that the scheduling algorithm can reflect change and impact users consumption behavior and accomplish the improved energy consumption profile.