In this work an intelligent maximum power point tracking based on fuzzy logic technique for a standalone hybrid generation power system with power management is presented, this system comprising a double fed induction generator branch (DFIG) based wind turbine and photovoltaic generator branch compared to the conventional perturbation and observation (P & O) and the incremental conductance algorithms respectively. The fuzzy logic controller is designed to vary the duty-cycle of the DC-DC converter automatically such that to maintain the load voltage constant. MPPT provides a high precision in current transition and keeps the voltage without any changes. Also, a power management strategy that enhances the hybrid system performance by introducing battery charging and discharging limit control, load priority setting and secondary load control had is presented. The proposed scheme ensures optimal use of the photovoltaic (PV) array and DFIG wind proves its efficacy in variable load conditions, unity and lagging power factor at the inverter output (load) side. A dynamic and steady-state mathematical model and simulations for the entire scheme is presented. The model is implemented in the MATLAB/Simulink platform.