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This paper focus on the optimal control of a stand-alone hybrid renewable energy system (HRES), which is based on a photovoltaic (PV) generator, a wind turbine (WT) and a battery energy storage system (BESS). In order to control the DC bus and to manage the power flow between the several power sources and the variable load demand, different intelligent control techniques are developed in this work. Thus to improve system Us efficiency, a dual input single output (DISO) DC/DC is adopted with a robust controller to integrate both intermittent PVWind renewable generators. Firstly, a Fuzzy Logic Controller (FLC) and a Sliding mode controller (SMC) are designed, implemented and compared. The aim of this control is to reach the optimum power to the DC bus voltage. Secondly, the BESS is supervised using a specific energy management strategy (EMS) depending on the power flow and the DC-linked voltage. A three-level inverter is used in the HRES to enhancing the quality of power injected into the AC load. Simulation results demonstrate the performance of the SMC compared to the FLC and the effectiveness of the proposed EMS irrespective of variations in meteorological conditions and load. [ABSTRACT FROM AUTHOR]