Modelling and Simulation of MPPT Based Solar Photovoltaic System for Voltage Lift LUO Converter

Abstract

Several maximum PowerPoint tracking techniques have been proposed to achieve optimal matching between solar photovoltaic arrays to load for extracting maximum available power from photovoltaic source. These techniques differ in terms of tracking speed, complexity, cost, accuracy of tracking, number of sensors used etc., This article proposes an Adaptive Neuro Fuzzy-Inference System (ANFIS) based maximum PowerPoint tracking for positive-output voltage lift LUO converter based on solar (PV)system for resistant load application. Performance analysis of proposed (MPPT) technique has been evaluated in MATLAB/Simulink environment for four different cases of input radiation and temperature patterns. These test input patterns have been chosen based on European standard EC50530.Simulation results revealed that proposed ANFIS maximum PowerPoint tracking technique effectively captures the maximum PowerPoint in a faster way with good accuracy under both steady state and dynamic climatical conditions. Moreover, a comparative study has been presented between conventional (P & O) -technique and proposed ANFIS MPPT technique. Comparative study reveals that ANFIS MPPT technique has higher tracking efficiency with lesser tracking time without any oscillation around maximum power point.

A New Dragonfly Optimized Fuzzy Logic-based MPPT Technique for Photovoltaic Systems

“…The drawbacks of metaheuristic methods are high initial oscillations at MPP and slow tracking speed [14]. However, these heuristic-based MPPT techniques track the MPP with better efficiency.…”