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• Developed an intelligent hybrid energy system using hydrogen fuel cells and batteries. • A microcontroller is used to control the developed hybrid energy system in an intelligent way. • The developed system coordinates the power flow schemes for the DC-DC and DC-AC sides. This study uses a fuel cell system with backup batteries coupled to renewable energy sources with intelligent control. The system developed for this research is built on a battery bank for energy storage and a fuel cell stack for energy generation, with a microcontroller regulating each component's operation. The microcontroller detects the associated load and directs the battery bank and fuel cell stack to operate in accordance with the demands of the load. The electric grid is connected to this system, which smooths out the provided power's variability while regulating the voltage and frequency. An AVR microcontroller, DC connections, converters, and inverters are the main parts of the system in this work, and they coordinate the power flow schemes for the DC-DC and DC-AC sides. To demonstrate the power flow and control system functions, as well as the overall system's power management, a MATLAB simulation is used. [Display omitted] [ABSTRACT FROM AUTHOR]

• To get maximum power from PV by employing adaptive fuzzy logic control. • To employ an Adaptive Fuzzy Logic Controller (AFLC) to control power flow. • The proposed technique is compared with FLC and PI controllers for comparative analysis. Photovoltaic (PV)-based energy solutions are utilized around the world as the demand for energy from renewable energy sources continues to increase. The advantages of a renewable energy source (RES)-based PV system are that it is environmentally friendly and needs less maintenance. The provision of consistent voltage is necessary for PV systems that are connected to the grid. The sun's irradiation varies often during the day. The availability of grid-connected PV systems can be increased by implementing an Adaptive Fuzzy Logic Controller (AFLC) with nonlinear reactive power and a DC-Link voltage controller. To solve the issue of resilience against uncertainties and outside disruptions, a state-variable control strategy is adopted. The controller uses maximum power point tracking (MPPT) to ensure that the utility system receives the most electricity possible in situations with fluctuating solar radiation. Results from the proportional-integral (PI) and Fuzzy Logic Controllers are compared to the collected results (FLC). [Display omitted] [ABSTRACT FROM AUTHOR]