Evaluation of series-parallel-cross-tied PV array configuration performance with maximum power point tracking techniques under partial shading conditions

To build a diversity of maximum power point tracking algorithms in solar PV systems, this work compares perturb and observe, incremental conductance, and fuzzy logic control algorithms. The fuzzy logic control method with a novel series-parallel-cross-tied PV array configuration outperforms the conventional algorithms. Tracking the maximum power point is a critical issue with solar systems. The power output of the solar panel varies due to variations in irradiance and temperature. Nonuniform irradiation due to partial shading conditions has a direct impact on the characteristics of photovoltaic (PV) systems. To build a diversity of maximum power point tracking algorithms in solar PV systems, this work focuses on perturb and observe, incremental conductance, and fuzzy logic control methodologies. The suggested fuzzy logic control method outperformed the conventional incremental conductance and perturb and observe algorithms with a collection of 49 rules. This paper presents a novel series-parallel-cross-tied PV array configuration with a developed fuzzy methodology. To comment on the performance of a proposed system under various partial shading conditions, a series-parallel PV array configuration has been considered. The simulation result demonstrates that the fuzzy method has a percentage improvement in the global maximum power point tracking efficiency of 24.85% when compared to the perturb and observe method and a 65.5% improvement when compared to the incremental conductance method under long wide partial shading conditions. In the case of the middle partial shading condition, the fuzzy method has a percentage improvement in the global maximum power point tracking efficiency of 12.4% compared to the perturb and observe method and a 60.7% improvement compared to the incremental conductance method.