The solar energy and wind energy are two natural, renewable energy resources for the mankind, for the energy supply without hassles that provided an avenue for its utilization. For the efficient of the resources, wind power generation is one of the options in association with a photovoltaic system for preserving solar energy. Hence the current system requires technology to be involved to control the operation to satisfy the major concern as initially a combinational hybrid system to keep track maximum power, DC voltage input and trade-off between renewable energy delivered for interconnections. The fluctuation in power for interconnection can be minimized by adaptive neuro fuzzy interference method (ANFIS) dependent maximum power point tracking (MPPT) system and microscopically trusted ANFIS based system. In this paper the hybrid MPPT controllers are compared that is with perturb-observe (P&O) and tip speed ratio (TSR) as one set of MPPT controller and another side incremental conductance method (ICM) and hill climb search (HCS) both the controllers are tested with the ANFIS. The proposed system to satisfy the defined objectives is modeled using MATLAB/SIMULINK software by connecting power grid system to inverter influenced by ANFIS controller. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.