Renewable energy sources have attracted wide attention due to their advantages of being abundant in nature and nearly non-polluting. Hybrid renewable energy system is the combination of two or more energy sources, one of the most feasible and reliable Grid connected renewable energy systems are the hybrid wind-solar sources. An optimization of hybrid wind-solar system is the process of selecting suitable components, design and control strategy to provide efficient, reliable and cost effective alternative energy. This paper presents the design of an optimized hybrid wind-solar energy system with high performance power generation of hybrid solar photovoltaic (PV) and a large capacity doubly fed induction generator (DFIG) based wind energy system. The proposed scheme uses both the grid side converter (GSC) and rotor-side converter (RSC) of DFIG to inject PV power to the grid. This proposed scheme provides an elegant and economic integration of PV source and DFIG-based wind energy source. The PV solar is connected directly to the dc-link. A nonlinear control is applied to extract Maximum Power from the PV under variable operating conditions. The proposed scheme does not hamper MPPT of PV and wind sources except during very rarely occurring environmental glitches, which the PV power control algorithm is suitably geared to handle using an artificial neural network (ANN).