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Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique

by K. B. Zirata, A. S. Kadalla, I. T. Thuku, Angeti Jival
journal cover thumbnail

Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 31
Year of Publication: 2019
Authors: K. B. Zirata, A. S. Kadalla, I. T. Thuku, Angeti Jival
10.5120/cae2019652835

K. B. Zirata, A. S. Kadalla, I. T. Thuku, Angeti Jival . Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique. Communications on Applied Electronics. 7, 31 ( Sep 2019), 1-6. DOI=10.5120/cae2019652835

@article{ 10.5120/cae2019652835,
author = { K. B. Zirata, A. S. Kadalla, I. T. Thuku, Angeti Jival },
title = { Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique },
journal = { Communications on Applied Electronics },
issue_date = { Sep 2019 },
volume = { 7 },
number = { 31 },
month = { Sep },
year = { 2019 },
issn = { 2394-4714 },
pages = { 1-6 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume7/number31/858-2019652835/ },
doi = { 10.5120/cae2019652835 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T20:03:57.868790+05:30
%A K. B. Zirata
%A A. S. Kadalla
%A I. T. Thuku
%A Angeti Jival
%T Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 31
%P 1-6
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper focused on the design of Maximum Power Point Tracking (MPPT) for extracting maximum power from solar panel to improve the efficiency of the PV system by introducing maximum power point tracking techniques. Fuzzy Logic Control (FLC) algorithm was developed using the incremental conductance technique for MPPT. The simulated results reveal that the FLC has better performance which has suppressed the oscillation around the MPP than the Perturb and Observe (P and O) controller which has much oscillation around the MPP.

References
  1. M. A. Daud, M. Z., Mohamed, A., Ibrahim, A. A. and Hannan, “Heuristic optimization of state-of-charge feedback controller parameters for output power dispatch of hybrid photovoltaic/ battery energy storage system,” Measurement, vol. 49, no. 1, pp. 15–25, 2014.
  2. V. R. Kolluru, R. K. Patjoshi, and R. Panigrahi, “A Comprehensive Review on Maximum Power Tracking of a Photovoltaic System Under Partial Shading Conditions,” Int. J. Renew. Energy Res., vol. 9, no. 1, pp. 175–186, 2019.
  3. C. S. Kumari, J. S. and Babu, “Mathematical Modeling and Simulation of Photovoltaic Cell using Matlab-Simulink Environment,” Int. J. Electr. Comput. Eng., vol. 2, no. 1, pp. 26–34, 2012.
  4. H. Raedani, R. and Muhammad, “Design, testing and comparison of P&O, IC and VSSIR MPPT techniques,” in IEEE International Conference, 2014, pp. 322–330.
  5. S. Maissa, F. and Lassâad, Efficiency Boosting for PV Systems- MPPT Intelligent Control Based. 2015.
  6. M. Houssamo, I., Locment, F. and Sechilariu, “Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems,” Int. J. Electr. Power Energy Syst., vol. 46, no. 1, pp. 98–107, 2013.
  7. S. Mekhilef, K. S. and Tey, “Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fastchanging solar irradiation level,” Sol. Energy, vol. 101, pp. 333– 342, 2014.
  8. V. K. Jha and S. Bhandari, “Comparative Study of Fuzzy Logic MPPT Controllers , using Different Membership Functions - for PV Modules,” Impending Power Demand Innov. Energy Paths, pp. 397–407, 2013.
  9. D. Bawa and C. Y. Patil, “Fuzzy control based solar tracker using Arduino Uno,” Int. J. Eng. Innov. Technol., vol. 2, no. 12, pp. 179–187, 2013.
  10. M. S. Ibbini and A. H. Adawi, “Analysis and design of a maximum power point tracker for a stand-alone photo voltaic system using simscape,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 8, no. 1, pp. 6–10, 2019.
  11. M. Samia, L., Mabrouk, K. and Mohammed, “Design of the MPPT in PV System,” IPCO, pp. 1–6, 2015.
  12. R. A. Nerissa E. L. Anku, D. Adu-Gyamfi, A. Kankam, A. Takyi, “A Model for Photovoltaic Module Optimisation,” J. Mech. Eng. Autom., vol. 5, no. 2, pp. 72–79, 2015.
  13. Z. Z. A. H. Mazinan, “Maximum power point tracking of the solar power plants in shadow mode through artificial neural network,” Complex Intell. Syst., pp. 1–16, 2019.
  14. W. Muhammad, A. K., Saon, S. and Sweechee, “Development of optimum controller based on MPPT for photovoltaic system during shading condition,” Procedia Eng., vol. 53, pp. 337–346, 2013.
  15. S. Manimekakai, P., Harikumar, R. and Raghavan, “A hybrid MPPT with interleaved converter for standalone PV power generation system,” Int. Energy J., vol. 14, pp. 143–154, 2014.
  16. D. Sushma, N. and Srinivas, “A new fuzzy based improved incremental conductance algorithm for tracking the MPP of a solar PV panel,” Int. J. Prof. Eng. Stud., vol. 9, no. 1, pp. 156–163, 2017.
  17. S. Stjepanovic, A., Softic, F., Bundalo, Z. and Stjepanovic, “Solar Tracking System and Modelling of PV Module,” MIPRO 2010, Opatija, Crotia, 2010.
  18. Z. Eltawil, M. A. and Zhao, “MPPT techniques for photovoltaic applications,” Renew. Sustain. Energy Rev., pp. 793–813, 2013.
  19. C. P. Roy, D. Vijaybhaskar, and T. Maity, “Modelling of Fuzzy Logic Controller For variable- step MPPT in Photovoltaic System,” IJRET Int. J. Res. Eng. Technol., vol. 2, no. 8, pp. 426–432, 2013.
  20. A. I. Camilla, M. Muthuselvi, A. I. Camilla, and M. Muthuselvi, “Maximum Power Point Tracking For Standalone Photovoltaic System,” Int. J. Technol. Innov. Res., vol. 14, pp. 1–12, 2015.
  21. F. A. Cavalcanti, M. C., Oliveira, K. C., Azevedo, G. M., Moreira, D. and Neves, “Maximum power point tracking techniques for photovoltaic systems,” Int. J. Eng. Dev. Res., vol. 4, no. 2, pp. 49–56, 2016.
Index Terms

Computer Science
Information Sciences

Keywords

MPPT PV system FLC incond P and O

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