Abstract
The energy consumption supervision is required for each smart home to ensure the highest power quality and to enhance the stability of the whole grid. In this paper, a various-goal energy management system is proposed to arrive at a compromise solution for smoothing the smart home power profile, reducing the electricity bill (E.B) and obtaining a free charging of Plug-in Electric Vehicles (PEVs) from home and renewable energy sources (RES). This control has been structured into two hierarchical layers. The first aims to maintain an appropriate balance of the Photovoltaic Generator (PVG) power that is scattered into three essential paths: home, vehicles and grid. The second destinates to coordinate the PEVs charging/discharging modes from and to the smart home. Both optimization layers of the proposed framework are executed using Particle Swarm Optimization (PSO) algorithm. Four scenarios are presented in different seasons with different demand profiles, different electricity prices and illuminations in north Africa, and different PEVs connections states. The simulation results have demonstrated the obtention of smooth home power profiles. As well, the inhabitant can achieve a total daily bill reduction of 26% in autumn, 15.57% in winter, 31.68% in summer and 25% in spring including almost a free charging of PEVs which prove the efficiency of the proposed strategy.
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