ANN_MPPT

MATLAB implementation of an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT)

This project provides a MATLAB implementation of an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT) algorithm designed to optimize energy extraction from photovoltaic (PV) systems.

• Objective: Enhance the accuracy and speed of MPPT under varying solar irradiance and temperature conditions.
• Methodology: An ANN is trained to predict the optimal PV voltage, replacing conventional approaches such as Perturb & Observe or Incremental Conductance.
• Tools: MATLAB scripts and Simulink models are included for simulation and validation of the ANN controller’s performance.
• Expected Results: Improved energy efficiency, reduced oscillations around the maximum power point, and dynamic adaptation to rapid environmental changes.
• Applications: Standalone PV systems, microgrids, and integration with FACTS devices for enhanced grid stability.