Intelligent Control of Photovoltaic System Using Fuzzy Logic for MPPT

Authors(2) :-V. M. Nandhana, Dr. S. Arockia Edwin Xavier

This paper suggests a method for the maximum power point tracking (MPPT) of a solar system under variable insulation conditions. A fuzzy Logic control (FLC) based MPPT technique is proposed to improve the efficiency of a standalone solar energy system. Fuzzy logic controller is applicable to a DC-DC converter device. The various design steps of fuzzy logic controller are presented along with its simulation.A fuzzy system for tracking the maximum power point of a PV system. A simulation model consists of PV panel, Buck converter, and fuzzy based MPPT developed. Maximum power can be tracking by using fuzzy logic controller has been simulated in MATLAB/Simulink.

Authors and Affiliations

V. M. Nandhana
Department of EEE, Thiagarajar College of engineering, Madurai, Tamilnadu, India
Dr. S. Arockia Edwin Xavier
Department of EEE, Thiagarajar College of engineering, Madurai, Tamilnadu, India

Fuzzy logic, photovoltaic (PV) Module, Maximum Power Point Tracking.

  1. Carlos A.P.Tavares1.Karla T. F. Leite2, Walter 1. Suemitsu3, Maria D. Bellar (2009)”performane evaluation of photovoltaic solar system with different MPPT methods,” IEEE transactions pg978-1-4244-449.
  2. Huan-Liang Tsai, Ci-Siang Tu, and Yi-Jie Su, “Development of Generalized Photovoltaic Model Using MATLAB/SIMULINK”, Proceedings of the World Congress on Engineering and Computer Science 2008 WCECS 2008, October 22 - 24, 2008, San Francisco, USA.
  3. G.J. Yu, Y.S. Jung, J.Y. Choi and G.S. Kim, ‘A Novel Two-Mode MPPT Control Algorithm Based on Comparative Study of Existing Algorithms’, Solar Energy, Vol. 76, N? 4, pp. 455 ? 463, April 2004.
  4. H. Buhler, ‘R?glage par LogiqueFloue’, Presses PolytechniquesetUniversitairesRomandes, CH-1015, Lausanne, 1994.
  5. Jee-Hoon Jung, and S. Ahmed, “Model Construction of Single Crystalline Photovoltaic Panels for Real-time Simulation”, IEEE Energy Conversion Congress & Expo, September 12-16, 2010, Atlanta, USA.
  6. K.M. Passino and S. Yurkovich, ‘Fuzzy Control’, Addison, Wesley, 1998._
  7. K. Punitha, D.Devaraj, S.sakthivel (2012),”development and analysis of adaptive fuzzy controllers for photovoltaic system under varying atmospheric and partial shading condition,” science direct on applied soft computing vol.13, pp.4320-4332.
  8. L. J.L. Santos, F. Antunes, A. Chehab and C. Cruz, ‘A Maximum Power Point Tracker for PV Systems Using a High Performance Boost Converter’, Solar Energy, Vol. 80, N?7, pp. 772 - 778, 2006.
  9. M. Veerachary, T. Senjyu, and K. Uezato, ‘Voltage-Based Maximum Power Point Tracking Control of PV Systems’, IEEE Trans. Aerosp. Electron. Syst., Vol. 38, pp. 262 - 270, Jan. 2002.
  10. P. S. Revankar, W. Z. Gandhare and A. G. Thosar Government College of Engineering, Aurangabad, “Maximum Power Point Tracking for PV Systems Using MATLAB/SIMULINK”, 2010 Second International Conference on Machine Learning and Computing.
  11. Ramos Hernanz, JA., Campayo Mart?n, J.J. Zamora Belver, I., Larra?agaLesaka, J., Zulueta Guerrero, E. Puelles P?rez, E., “Modeling of Photovoltaic Module”, International Conference on Renewable Energies and Power Quality (ICREPQ’10) Granada (Spain), 23th to 25th March, 2010.
  12. R.Sridhar, Dr.Jeevananathan, N. ThamizhSelvan, Saikat Banerjee, “Modeling of PV Arrayand Performance Enhancement by MPPT Algorithm", International Journal of Computer Applications (0975 ? 8887) Volume 7? No.5, September 2010.
  13. Sandeep Kumar, Vijay Kumar Garg, “A Hybrid model of Solar-Wind Power GenerationSystem”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), Vol. 2, Issue 8, August 2013, pp. 4107-4016.
  14. S.Chowdhury, S.P.Chowdhury, G.A.Taylor, and Y.H.Song, “Mathematical Modeling and Performance Evaluation of a Stand-Alone Polycrystalline PV Plant with MPPT Facility” IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, July 20-24, 2008, Pittsburg, USA.
  15. T. Takagi and M. Sugeno, ‘Fuzzy Identification of Systems and Its Applications to Modeling and Control’, IEEE Transactions on Systems Man and Cybernetics, Vol. 15, N?1, pp. 116 - 132, 1985.
  16. Vinodhini. R, Rajitha.G, Kiran Kumar B and prof.Arun Kumar .G,”dSPACE based 12/24v closed loop boost converter for low power application.” VIT unersity 2014 International conference on computation of power, energy, Information and communication (ICCPEIC) 978-1-4799-382-11/14IEEE.
  17. X. Liu and L.A.C. Lopes, ‘An Improved Perturbation and Observation Maximum Power Point Tracking Algorithm for PV Arrays’, Power Electronics Specialists Conference, PESC’ 04, 2004.
  18. Yi ?Hua.Chun-Liu, Jia-Wei Huang, Jing-H siau Chen(2013)” neural network ?based maximum power point tracking methods for photovoltaic systems operating under fast changing environments” Science Direct on solar energy 89 pg:42-53
  19. W.Xiao,W.G.Dunford,P.R.Palmer,A.capel, Application Of Centered differentiation And Steepest Descent To Maximum POWER POINT TRACKING,IEEE transactions on industrial electronics,vol.54,No.3 pp.2539-2549,may2007.
  20. C. Liu, B.Wu, and R. Cheung, “Advanced algorithm for MPPT controlof photovoltaic systems,” in Proc. Canadian Solar Build. Conf., Montreal,QC, Canada, Aug. 20?24, 2004.
  21. N. Pongratananukul, “Analysis and Simulation Tools for Solar ArrayPower Systems,” Ph.D. dissertation,Dept. Electrical and Computer Engineering,Univ. Central Florida, Orlando, FL, 2005.
  22. D. P. Holm and M. E. Ropp, “Comparative study of maximum powerpoint tracking algorithms,” Progr. Photovolt.: Res. Applicat., vol. 11,no. 1, pp. 47?62, 2003.
  23. D. Shmilovitz, “On the control of photovoltaic maximum power point tracker via output parameters,” Proc. Inst. Elect. Eng., vol. 12, no. 2, pp. 239?248, 2005.

Publication Details

Published in : Volume 3 | Issue 5 | May-June 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 78-82
Manuscript Number : ICASCT2513
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

V. M. Nandhana, Dr. S. Arockia Edwin Xavier, " Intelligent Control of Photovoltaic System Using Fuzzy Logic for MPPT", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 5, pp.78-82 , May-June-2017.
Journal URL : http://ijsrst.com/ICASCT2513

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