مدیریت هوشمند بار

In this paper, in order to intelligently manage the demand for smart home electrical networks, it includes electrical loads such as refrigerators, air conditioning systems, washing machines, dishwashers, electric ovens, and PHEV that can be charged and discharged by connecting to the city electricity. In this research, the DE algorithm has been used in order to intelligently optimize household load management with the presence of renewable elements and controllable loads. Also, wind and solar power generation sources have been considered, and the uncertainty related to power generation by their annual power generation regime has also been considered. The proposed goal is to reduce electricity costs and also improve the voltage profile of household loads. The load profile considered in this article is real and without averaging, which is adapted from authentic articles. The simulation was implemented by MATLAB software and the results were compared with the basic state in order to validate the results.