Solar and wind are promising sources of energy which are available adequately in our country, and the integration of both these energy resources preserves the environment and improves economic wellness. This project presents the design and control of a grid-connected solar, wind, and battery-based hybrid energy system. The PV system comprises an Improved SEPIC converter chosen for its high static gain. Maximum power from the PV is extracted by ANFIS-based MPPT, which combines artificial neural network and fuzzy inference system. The Permanent Magnet Synchronous Generator (PMSG) based wind turbine is used in the wind energy conversion system, producing AC output voltage transformed to DC via a PWM rectifier. Excess energy is stored in a battery bank connected to the common DC bus through a battery converter. The system also operates when wind power is unavailable. A MATLAB simulation model is developed, showing THD of 1.00%. © 2022 Elsevier B.V., All rights reserved.