Integrating renewable energy - fuel cells, wind turbines, and photovoltaics - introduces a viable way to improve power generation systems' efficiency and dependability. The purpose of this study is to look forward to integrat fuel cells and photovoltaic panels to maximize wind turbine performance at the Zafarana wind farm. Zafarana, an Egyptian location, is a noteworthy destination for renewable energy due to its strong wind resources. The research’s design intends to increase energy production, enhance system efficiency, and establish a more stable power output profile by merging wind energy with PV and fuel cell technologies. An analysis is created on different optimization methodologies and configurations, considering variable parameters like system costs, environmental impact, and resource availability. The suggested methodology algorithm design successfully reduced the Net Present Cost (NPC) of electricity, demonstrating a significant improvement over conventional optimization methods. The approach was to decrease the NP (Net Present) amount to determine the cost value, supported using LPSP (loss of power supply probability). The output power could be changed by these control schemes to meet predetermined levels by using MATLAB \SIMULINK program, a TRIBRID-local grid (LG) system in the ZAFRANA plant subject will be modeled, with the addition of PV system and fuel system sources to feed residential loads, local grid, and desalination unit considered as an objective function. The best solution will be found by applying an enhanced optimization method modified firefly algorithm (MFFA). The consequence of the research will be figured to achieve a cost-effective and high-efficiency electricity generation solution. Advanced optimization methodology, such as the Modified Firefly Algorithm (MFFA), is utilized to assess the integration of these renewable sources, aiming to enhance energy output while minimizing operational costs. The conclusion results indicate a significant improvement in Egyptian Local Grid of 2500 MW, 120 KV while maintaining the lowest power losses in the overall objective function, demonstrating that the synergistic combination of wind, fuel cell, and solar technologies can lead to an effective combined sustainable energy plant.