Integrating clean energy into systems and sustainably generating it has become easier thanks to grid-connected hybrid renewable energy systems (HRES). With solar, wind and biomass together, these systems improve how energy is provided and reduce dependence on traditional grids. The stability of the system, the improvement of power quality and real-time energy cost savings depend on strong control strategies. A new fuzzy logic method is proposed for controlling a grid-connected HRES to respond quickly to changes in the environment and in what people use energy. Nonlinearities, uncertain factors and sudden changes in renewable energy tend to be problems for old control techniques. Controlling the energy flow efficiently is made possible by using both automatic and flexible decision-making options. This document describes a well-designed fuzzy logic controller which has been introduced to improve the management and synchronization of hybrid energy systems’ energy flow. Both systems are tested by running each on the same data set. Performance indices that are part of the evaluation are voltage regulation, total harmonic distortion, power factor and energy utilization efficiency. Research indicates that MPC has improved how fast the system responds and how good it is at handling changes in both steady-state and changing conditions. The fuzzy logic ideas show improved adaptability and resistance which are clearly demonstrated through both visual graphs and numerical checks. The paper finishes by describing the potential to apply real-time embedded systems in smart grid infrastructure.