Fuzzy Logic-based MPPT Control for Bifacial Photovoltaic Module

Solar Photovoltaics (PV) is crucial to meeting the energy needs of the current generation. Bifacial PV modules can generate high power density and higher energy yield with cost-effective operation due to their diffused and reflected irradiance-capturing capability. The power output of the PV system varies with varying temperatures and solar irradiance. The bifacial solar cell takes the independent value of irradiance for the front side and rear sides of the cell. Bifacial solar cells, like any other solar cell, are variable sources and their power output must be controlled, which is accomplished using the maximum power point tracking (MPPT) control techniques. Various Artificial Intelligence (AI) based algorithms are available for maximizing the power of the PV systems. AI-based methods have huge applications in PV systems to provide better responses. To get the Bifacial PV module's maximum operational power, this study proposes AI-based, fuzzy logic MPPT control with boost converter topology.