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
