Study on Artificial Neural Network Based MPPT Algorithm in PV Application

This paper presents a descriptive study on Artificial Neural Network, and it solves the drawbacks of old MPPT techniques. This study includes a detailed analysis of the fundamental principles and operational aspects of ANN. The MATLAB Simulink is used to simulate the PV module, DC-DC boost converter, and the ANN MPPT algorithms of the MPPT control system. The simulation also compares the system's performance under varying solar irradiation rates, both fast and slow. A comparison is made with Perturb and Observe (P&O) MPPT method. The results on simulation demonstrate that ANN-based MPPT outperforms the P&O method in terms of efficiency and accuracy, particularly under dynamic weather and shading conditions. The proposed study provides a comprehensive understanding of the benefits and limitations of ANN and P&O MPPT methods and highlights the potential for future research.