Plithogenic Neutrosophic Fuzzy Logic: Revolutionizing Solar PV with Bio-Inspired Cheetah Hunting Strategies for MPP Efficiency.

Abstract

This study investigates the performance of PV central and string arrays under uniform and partial shading conditions using a plithogenic Neutrosophic-based cheetah fuzzy logic algorithm for Maximum Power Point (MPP) optimization. The proposed cheetah-MPP techniques draw inspiration from the strategic and efficient hunting characteristics of cheetahs, employing rapid convergence, adaptability, and precision in tracking the MPP for solar PV systems. Through real-time experimental data and simulation analysis in MATLAB/Simulink, the cheetah algorithm demonstrated superior performance, achieving a maximum power tracking of 1450W with a tracking efficiency of 98.5% under uniform irradiance conditions. It also showed faster convergence and more effective power tracking under partial shading compared to traditional methods. By incorporating plithogenic Neutrosophic fuzzy-based multi-criteria decision-making (MCDM) techniques, the algorithm adeptly handles uncertainties and variabilities in solar irradiance and shading conditions, ensuring optimal PV system performance. This research opens new avenues for optimizing solar PV power generation, inspired by the adaptive and strategic hunting strategies of cheetahs.

Highlights of the work:

 Innovative Algorithm: Introduced a plithogenic Neutrosophic-based cheetah fuzzy logic algorithm inspired by cheetah hunting strategies for optimizing Maximum Power Point (MPP) in solar PV systems.

 Superior Performance: Achieved high tracking efficiency of 98.5% under uniform irradiance conditions and demonstrated faster convergence and effective power tracking under partial shading conditions compared to traditional methods.

 Comprehensive Analysis: Conducted both real-time experimental data collection and simulation analysis using MATLAB/Simulink to validate the algorithm's performance.

 Handling Uncertainties: Effectively managed variabilities and uncertainties in solar irradiance and shading conditions using plithogenic Neutrosophic fuzzy-based multi-criteria decision-making (MCDM) techniques.

 Future Research Directions: Opened new avenues for further exploration and optimization of solar PV power generation, encouraging future studies to enhance MPP extraction under varying environmental conditions.