Optimal Home Energy Management Algorithm Incorporating PVs/Electric Vehicles

The smart grid is more sustainable and has lower overall operating costs and carbon emissions. To manage demand in future smart grids, this research proposes a load shifting technique-based demand side management method. It proposes a day-ahead load shifting strategy that is expressed mathematically as a minimization problem solved with a particle swarm optimization (PSO) algorithm that readily adopts heuristics in the problem. The incorporation of roof-top PV units with vehicle-to-grid capability is a key component of the suggested strategy. This means that in addition to load shifting and congestion management, electric vehicles (EVs) and PVs can offer the power grid specific services like generation and storage management. A residential building with a number of devices, including EVs and PVs, was used for simulations. The simulation results show that the proposed strategy achieves substantial savings, while reducing the peak load demand of the building.