Comparative Performance Analysis of Fuzzy Logic and PSO MPPT Controllers for Photovoltaic Systems

Photovoltaic energy plays a key role in reducing greenhouse gas emissions and tackling climate change. A crucial part of maximizing the energy output of photovoltaic systems is effective maximum power point tracking (MPPT). The control strategy used for MPPT not only affects the system’s performance but also determines how well it can handle disturbances, making it essential for long-term efficiency. This study looks at two advanced control methods for photovoltaic systems: fuzzy logic (FL) and particle swarm optimization (PSO). Fuzzy logic proves to be quick, accurate, and reliable, even when sunlight levels change rapidly. In comparison, PSO is precise over time but struggles with slower adjustments, leading to short-term energy losses during sudden changes in sunlight.