Open AccessHybrid Fuzzy Based MPPT Techniques for Maximum Power Extraction
Author(s) -
K. Soujanya,
J. Upender,
S. Srinivas,
S. Vijaya Laxmi S. Vijaya Laxmi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1027.0882s819
Subject(s) - maximum power point tracking , maximum power principle , photovoltaic system , control theory (sociology) , power (physics) , computer science , fuzzy logic , boost converter , voltage , engineering , electrical engineering , physics , control (management) , artificial intelligence , thermodynamics , inverter
The extensive usage of solar has extended the opportunity of research to increase the efficiency of PV module. Maximum Power Point Tracking technique plays an important role. In P & O and Incremental conductance the power produced is less. In this paper a Fuzzy based P & O and Fuzzy based Incremental Conductance MPPT techniques are presented to extract the maximum power from the photovoltaic system by considering the dynamic variation in irradiations and temperature also. Here the 100 kW PV array is considered and it is connected to the utility grid via a DC-DC boost converter of 500volts with a 3 phase three level voltage source converter. The result is obtained by the MAT LAB Simulink and the same is appraised with the traditional P & O and Incremental conductance. The PV System produces the maximum power by the application of Fuzzy based incremental Technique compared to conventional methods.