Hybrid Fuzzy Based MPPT Techniques for Maximum Power Extraction
K. Soujanya1, J. Upender2, Sai Srinivas3, J. Vijaya Laxmi4

1K. Soujanya, Ph.D Research Scholar, Associate Professor, CMR College of Engineering & Technology, Osmania University, Hyderabad (Telangana), India.
2Dr. J. Upender, Assistant Professor, Osmania University, Hyderabad (Telangana), India.
3Sai Srinivas, PG Scholar, Osmania University, Hyderabad (Telangana), India.
4Smt. J. Vijaya Laxmi, Ph.D Research Scholar, Department of Bio-Technology, Osmania University, Hyderabad (Telangana), India.
Manuscript received on 19 August 2019 | Revised Manuscript received on 10 September 2019 | Manuscript Published on 17 September 2019 | PP: 1140-1148 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B10270882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1027.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Maximum Power Point, Perturb & Observe, Incremental Conductance, Hybrid Fuzzy Logic.
Scope of the Article: Fuzzy Logics