Home Energy Management in Smart Grid with Renewable Energy Resources

In this paper, a real-time optimal appliance usage strategy is proposed based on binary particle swarm algorithm, participated by both energy suppliers and customers, together with renewable resources. With different time-of-use electricity prices, a time table for the appliance operation is derived with the least tariff objective considering the personal habits and characteristics of the appliances. When the demanded power is too high or too low, the supplier will send a feedback signal to ask the customer to stop/delay using some kinds of appliances or to remind that some flexible appliances can be activated or used in order to achieve the 'peak load shifting' effect. Matlab simulation experiments have been implemented to prove the effectiveness of the system.