Energy Management for a Residential Microgrid Using Wavelet Transform and Fuzzy Control Including a Vehicle to Grid System
This paper presents the design and implementation of an energy management system (EMS) with wavelet transform and fuzzy control for a residential micro grid. The hybrid system in this paper consists of a wind turbine generator, photovoltaic (PV) panels, an electric vehicle (EV) and a super capacitor (SC) which is able to connect or disconnect to the main grid. The control strategy is responsible for compensating the difference between the generated power by the wind and solar generators and the demanded power by the loads. Wavelet transform decomposes the power difference into a smoothed component and a fast fluctuated component. The command approach used for fuzzy logic rules considers the state of charging (SOC) of EV, renewable production, and the load demand as parameters. Furthermore, the command rules are developed in order to ensure a reliable grid when taking into account the EV battery protection to decide the output power of the EV. The model of the hybrid system is developed in detail under Matlab/Simulink software environment. Index Terms Energy management system (EMS) fuzzy control, micro grid, renewable energies, vehicle to grid (V2G) wavelet.