Design and Real Time Simulation of Artificial Intelligent based MPP Tracker for Photo-Voltaic System

摘要

This paper presents an Artificial Intelligent based Maximum Power Point Tracking (MPPT) of a photo-voltaic system implementation using dSPACE 1104. The paper also proposes a novel Adaptive Neuro-Fuzzy Inference System (ANFIS) / Constant Voltage Tracker (CVT) for a photovoltaic (PV) powered multilevel inverter which requires a fixed constant dc voltage at its input. The MPPT algorithms viz. perturb and observe, incremental conductance, neural network, ANFIS and ANFIS/CVT have been designed and implemented on laboratory prototype. The modeling of various MPPT algorithms have been done on MATLAB/SIMULINK platform. Real time simulations have been carried out using dSPACE R&D controller board and CONTROLDESK software. The performance comparisons of various MPPT techniques applied to stand-alone PV system with resistive load have been presented for varying solar radiation conditions. The authors hope that the comparative analysis presented in this work will be helpful for further research.