Heuristic Algorithm Based Dynamic Scheduling Model of Home Appliances in Smart Grid

Smart grid provides an opportunity for customers as well as for utility companies to reduce electricity costs and regulate generation capacity. The success of scheduling algorithms mainly depends upon accurate information exchange between main grids and smart meters. On the other hand, customers are required to schedule loads, respond to energy demand signals, participate in energy bidding and actively monitor energy prices generated by the utility company. Strengthening communication infrastructure between the utility company and consumers can serve the purpose of consumer satisfaction. We propose a heuristic demand side management model for scheduling smart home appliances in an automated manner, to maximize the satisfaction of the consumers associated with it. Simulation results confirm that the proposed hybrid approach has the ability to reduce peak-to-average ratio of the total energy demand and reduce the total cost of the energy without compromising user comfort.