Published Paper Details:

This research paper presents a novel approach for maximum power point tracking (MPPT) in solar panels using a combined Artificial Neural Network (ANN) and Jaya algorithm-based model. The aim of this study is to overcome the limitations and challenges associated with traditional MPPT techniques and enhance the performance of solar panels in terms of efficiency, stability, and adaptability. Additionally, the integration of fuel cells as an alternate energy source is explored to ensure continuous power supply in the absence of solar irradiance. The proposed ANN-Jaya model is developed and validated through extensive simulations and comparisons with conventional MPPT models in MATLAB Software. The model's performance is evaluated based on various parameters, including voltage, current, power generation, and battery state of charge. The results demonstrate the superiority of the proposed model, as it consistently generates stable and optimal outputs, minimizing oscillations and maximizing power generation.