Optimal Integration of Hybrid Energy Sources for Power Flow Management in Grid System

The generation of solar and wind energy has grown significantly during the last few decades. Wind and PV cells are used to convert energy without emitting any pollution. This paper introduces a clean energy-based 3 ϕ that includes Photovoltaic (PV) energy and wind energy. For wind power generation and control the power flow in wind turbine, the Double Fed Induction Generator (DFIG) is utilized here. A Re-Lift Luo Converter has been employed to boost the voltage level of the PV, because it offers a broad conversion range and lower voltage stress. An Adaptive Network Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) approach has been designed to track solar PV modules' highest possible output. The resulting DC voltage is sent to 3ϕ VSI in order to convert it to AC voltage. The resultant AC voltage is then delivered to the 3ϕ grid for additional use. This 3 ϕ mainly developed to control the grid voltage flow. The acquired results are validated using the MATLAB platform. The trial results clearly demonstrated that the suggested strategy surpassed the conventional methods in terms of effectiveness, dependability, and minimal ripples with a minimized THD value of 1.24%.