Gülsüm NAZLI ARPACI, Prof. Dr. M. Cengiz TAPLAMACIOĞLU, Doç. Dr. Haluk GÖZDE

Design and Comparison of Perturb & Observe and Fuzzy Logic Controller in Maximum Power Point Tracking System for PV System by Using MATLAB/Simulink

Abstract – Energy is a substantial component for human being. One of the crucial concerns in developing power industry is that expanding energy demand compulsively. Therefore, the only way to overcome this challenge is the evolution of renewable and unlimited energy sources. Solar energy is considered a major source for producing electricity. One of the most important issues is generating the electrical power from PV panels and nowadays researchers concentrate implementation of maximum power point tracking algorithm to increase the output efficiency of PV panel. Maximum power point tracking (MPPT) system is used in PV applications to obtain maximum power which rely on different conditions like solar insolation, temperature, sunlight angle etc. In addition, a DC-DC converter is located between the PV array and load in order to acquire the desired voltage level. The converter searches a better voltage to receive higher power from the solar panels. In this study, a Fuzzy Logic controller and a Perturb & Observe (P&O) system for the tracking of the maximum power point are analyzed. Thus, fuzzy logic controller is designed and compared with P&O technique for the operation of the MPPT controller for effective operation under non-linear parameters variations. All algorithms are simulated in Matlab/Simulink to track maximum power efficiently and so successful results are obtained.

Keywords:

Photovoltaic applications, Maximum Power Point Tracking Perturb and Observe, Fuzzy logic controller, Matlab,

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REFERENCES
Habbati Bellia, Ramdani Youcef and Moulay Fatima. "A detailed modeling of photovoltaic module using MATLAB." NRIAG Journal of Astronomy and Geophysics vol. 3, no. 1, 2014, pp.53-61..
Akash Garg, R.Saida Nayak, Sushma Gupta, "Comparison of P&O and Fuzzy Logic Controller in MPPT for Photo Voltaic (PV) Applications by Using MATLAB/Simulink"IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 4 Ver. I (July – Aug. 2015), PP 53-62
NASRUDIN ABD RAHIM, HEW WOOI PING AND JEYRAJ SELVARAJ. "PHOTOVOLTAIC MODULE MODELING USING SIMULINK/MATLAB." PROCEDIA ENVIRONMENTAL SCIENCES 17 (2013): 537-546..
Biraja Prasad Nayak, Animesh Shaw, "Design of MPPT Controllers and PV cells Using MATLAB Simulink and Their Analysis, " ICNTE-2017
H.Abu-Rub, A.Iqbal and Sk.M.Ahmed, “Adaptive neuro-fuzzy inference system-based maximum power point tracking of solar PV modules for fast varying solar radiations”, International Journal of Sustainable Energy ,Vol.31, No.6, December 2012, 383-398.
M.A.S. Masoum, M.Sarvi, “A new fuzzy-based maximum power point tracker for photovoltaic applications”, Iranian Journal of Electrical & Electronic Engineering, Vol.1, January 2005.
Basil M. Hamed and Mohammed S. El-Moghany, “Fuzzy Controller Design Using FPGA for Photovoltaic Maximum Power Point Tracking”, International Journal of Advanced Research in Artificial Intelligence, Vol.1,No3, 2012.
M.Zein Alabedin, E.F. El-Saadany, M.M.A. Salama, “Maximum Power Point Tracking for Photovoltaic System Using Fuzzy Logic and Artificial Neural Networks”.
A. Talha, H. Boumaaraf, and O. Bouhali, “Evaluation of maximum power point tracking methods for photovoltaic systems,” Archives of Control Sciences, vol. 21, no. 2, pp. 151–165, 2011.
T. Esramand P. L.Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439–449, 2007.