Optimizing PV Performance in Shaded Areas with Distributed (MLPE) Systems

Abstract

Solar energy, especially photovoltaic solar energy, enhances renewable energy technologies. However, solar PV system performance may be affected by the changing climate, temperatures highlighted, and changes in irradiance. In the context of such issues, there are two considerations for configuring the PV system: centralized and distributed. The centralized one has quick power tracking with faster convergence speeds. At the same time, it works great when the irradiance is uniform, giving very high energy; however, PS may result in a massive loss of power. On the contrary, for the distributed system, there is monitoring for current and voltage at each panel, producing copious data that work fine in the case of shade because of applied MLPE converters. Thesis presents a modular-based DFO DC-DC converter with several novel features, including the accurate monitoring of modules, an accessible troubleshooting facility, and a rapid shutdown if there is a fire danger. The following section compares the developed MPPT DFO algorithm robustness with that of other state-of-the-art techniques, such as CS, FFO, PSO Inc. and P&O. The findings indicate that the novel approach is dynamic in nature and produces lower harmonics and better performance in tracking MPPT. In this regard, the effectiveness of both the MLPE and centralized systems is tested on the Helioscope software using different inverter brands: SMA, Tigo, Enphase, Solar Edge and Huawei. The results prove that MLPE is a better option in the case of shading region for attaining maximum power point almost 30% to 35% more power is generated through a MLPE based system.