Masoud Alilou - Department of Electrical Engineering Urmia University Urmia, Iran
Hossein Shayeghi - Energy Management Research Centre University of Mohaghegh Ardabili Ardabil, Iran
Behrouz Tousi - Department of Electrical Engineering Urmia University Urmia, Iran

In this paper, the operating schedule of home appliances and local wind turbine is optimized using a home energy management system. Priced-based demand response program is utilized for operational scheduling. The uncertainty of wind speed is considered in the proposed energy management method. To achieve the best plan of devices, technical and economic formulation is developed. Multi-objective dragonfly algorithm is used for optimizing the techno-economic objective functions, and then fuzzy setting-method is utilized for choosing the best operational schedule of home devices from Pareto-front. Numerical simulations illustrate the proper performance of the proposed method in finding the best schedule of home appliances and windturbine and also improving the considered indices of the smart home.

Electricity bill, Multi-objective dragonfly algorithm, Smart home appliances, Uncertainty, Wind turbine