Demand Side Management in Smart Home using Grey Wolf Optimization

In highly developed Smart Homes, Home Energy Management Systems (HEMS) are considered to deal with the use of energy. In order to balance the supply and the demand, an Optimal Home Energy Management (OHEM) system is proposed in this paper to manage time slot for the use of electric appliance with the economic benefits in electricity tariffs including the customer satisfaction. For Demand Response (DR), Real Time Pricing (RTP) is considered on hourly basis in the electricity tariff plan. First, the constrained optimization problem is formulated into a mathematical function and the objective function is established. In this an objective function is defined by utility function that maximizes the customer satisfaction and reduces the electricity tariff. Minimization of Objective function is performed by the Grey Wolf Optimisation (GWO) Algorithm which gives the optimal solution. The simulation result shows that by using the GWO algorithm in an OHEM system, electrical appliances can be managed in appropriate time slots to improve electricity rates with reasonable compromise on consumer satisfaction. In addition, electricity cost and consumer satisfaction can be adjusted by varying weighting parameter in an objective function.