Towards an Optimal Residential Home Energy Management in Presence of PV Generation, Energy Storage and Home to Grid Energy Exchange Framework

Electricity shortages are severe for developing countries like Pakistan as a result of massive population growth. To solve this problem Renewable energy resources (RER's) and energy storage systems (ESS) can play a considerable role. In this paper, we have analyzed the effects on the operational cost of residential electricity consumers by installing the rooftop photovoltaic (PV) and ESS on their smart homes. Additionally, the home to grid (H2G) energy exchange framework is also included to explore its benefits on energy management. Home Energy Management (HEM) problem is formulated with the integration of PV and ESS by considering user preferences and other system boundaries. A Grey wolf optimization (GWO) algorithm is used to find out optimal scheduling of appliances. The findings of the simulations indicate that the proposed solution can improve the performance of the home electricity scheduling, reduced the effect of uncertainty on the system and decrease the overall energy consumption cost.