Optimal Scheduling of Dynamic Energy Demand in Smart Grid Using Time-slotting Linear Programming

This work concentrates on the problem of load scheduling in demand-side management for residential users in smart grid. A new linear programming model is proposed to search for the optimal operating slots of the household appliances so that the total cost of energy bill is minimized. The proposed model takes into account the standby power and time-varying demand of the appliances to make the model more realistic for real-life application. The model also provides flexibilities to the residential users by allowing them to choose multiple preferable time slots for the operations of the appliances. The convex form of linear programming model guarantees an efficient search of the exact solutions. Simulation results show that the obtained optimal solution is able to reduce user's daily electricity charges.