The article discusses the importance of hydrogen energy, particularly through Proton Exchange Membrane Fuel Cells (PEMFC), as a sustainable solution for meeting energy demands in distributed power generation and transportation. It explains how PEMFCs function and outlines the challenges such as high material costs and limited lifespan. The focus is on optimizing PEMFC performance through the use of Maximum Power Point Tracking (MPPT) algorithms. Various MPPT algorithms like Perturb and Observe (P&O), Incremental Conductance (InC), Hill Climb, Incremental Resistance (InR), and Adaptive MPPT Tracker are explored in the context of fuel cells. These algorithms help in maintaining stability, improving power transfer efficiency, and enhancing power output. Evolutionary Algorithms (EAs) like Genetic Algorithm, Particle Swarm Optimization, and Grey Wolf Optimization are also discussed for their role in optimizing MPPT control in PEMFCs. The article highlights the significance of these advancements in ensuring the efficiency and longevity of PEMFC systems, contributing to the development of sustainable energy solutions.