Energy Management in Smart Homes with PV Generation, Energy Storage and Home to Grid Energy Exchange

Developing countries like Pakistan are facing a serious shortage of electrical energy due to massive urbanization. Renewable energy resources (RER's) and energy storage system (ESS) can play significant role in solving this problem. In this paper, we have studied the impact of rooftop photovoltaic (PV) and ESS installation on the operational cost of electrical energy usage in smart residential homes. Additionally, concept of home to grid energy exchange (H2G) is also incorporated to study its benefits on energy management. Home Energy management (HEM) problem is modeled with the integration of PV and ESS by considering user preferences and other system constraints. Genetic algorithm (GA) is applied to find out optimal scheduling of appliances. Simulation results show that the proposed method can enhance the performance of the home electricity scheduling, decrease the effect of uncertainty on system and reduce the overall energy cost.