Developing Model for smart home energy management system considering grid-connected renewable energy of photovoltaic

A smart home is equipped with an energy management system with the aim of making energy consumption as efficient as possible. For instance, depending on the needs and tastes of the residents, it can set the heating and cooling systems to the desired degree. Moreover, it can automatically and intelligently shift the scheduling of some high-consumption electrical appliances from the high-price peak power load to the low-price base load. Most previous studies on scheduling home appliances in smart homes have ignored the possibility of providing energy from renewable sources. Also, the mathematical modeling of the optimization problem has usually resulted in non-linear programming models. This work proposes a new linear mixed-integer programming model for energy management in a smart home, considering grid-connected renewable photovoltaic cell energy. The energy from the power grid is priced with a real-time pricing policy during the day. The purpose is to get an optimal schedule for home appliances to minimize the total power consumption cost and analyze the economic justification for using solar cells. The proposed model is implemented in different cases, and obtained results are compared.