Abstract
References
- 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.
Design and Comparison of Perturb & Observe and Fuzzy Logic Controller in Maximum Power Point Tracking System for PV System by Using MATLAB/Simulink
Abstract
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
References
- 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.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | March 4, 2019 |
| Submission Date | May 23, 2019 |
| Published in Issue | Year 2019 Volume: 3 Issue: 1 |