Asymmetrical interval type-2 fuzzy logic control based MPPT tuning for PV system under partial shading condition.

Area of Science:

• Renewable Energy Systems
• Control Systems Engineering
• Photovoltaic Technology

Background:

• Conventional Maximum Power Point Tracking (MPPT) algorithms struggle with partial shading in photovoltaic (PV) arrays, leading to suboptimal power extraction due to multiple local maxima.
• Partial shading causes significant power loss and performance degradation in PV systems, necessitating advanced control strategies.

Purpose of the Study:

• To develop and evaluate a novel asymmetrical interval type-2 fuzzy logic control (IT-2 AFLC) based MPPT algorithm for enhanced global maximum power point (GMPP) tracking under partial shading conditions (PSC).
• To compare the proposed IT-2 AFLC algorithm against conventional Perturb & Observe (P&O) and Type-1 Fuzzy Logic Control (T-1 FLC) methods.

Main Methods:

• Implementation of an asymmetrical interval type-2 fuzzy logic control (IT-2 AFLC) algorithm for MPPT in PV systems.
• Utilizing various PV array configurations (e.g., series-parallel, honey comb, total cross tied) to mitigate partial shading effects.
• Performance evaluation using the EN50530 MPPT efficiency test under dynamic conditions and comparison of key metrics like GMPP tracking, fill factor, shading losses, mismatch loss, and efficiency.
• Development and simulation of the proposed algorithm within the MATLAB/Simulink environment.

Main Results:

• The proposed IT-2 AFLC algorithm demonstrated superior performance in tracking the GMPP compared to P&O and T-1 FLC under partial shading.
• The algorithm effectively minimized shading losses and mismatch losses, leading to improved overall system efficiency.
• Fill factor and MPPT efficiency were significantly enhanced by the proposed control strategy.

Conclusions:

• The asymmetrical IT-2 AFLC based MPPT algorithm is a highly effective solution for overcoming the challenges of partial shading in PV systems.
• This advanced control approach ensures robust and efficient energy harvesting, making it a valuable contribution to solar energy technology.
• The study validates the superiority of the proposed method through rigorous simulation and comparative analysis.