CFP last date
01 May 2024
Call for Paper
June Edition
CAE solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 01 May 2024

Submit your paper
Know more
The week's pick
Responsive image
An Improve Shannon Fano Data Compression Algorithm using Residue Number System

T.D. Lawal L.O. Olatunbosun K.A. Gbolagade
Random Articles
Reseach Article

Insights of the Advancement in Maximum Power Point Tracking Techniques in PV Module

by Yoganandini A.P., Anitha G.S.
journal cover thumbnail

Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 3
Year of Publication: 2016
Authors: Yoganandini A.P., Anitha G.S.
10.5120/cae2016652044

Yoganandini A.P., Anitha G.S. . Insights of the Advancement in Maximum Power Point Tracking Techniques in PV Module. Communications on Applied Electronics. 4, 3 ( January 2016), 15-25. DOI=10.5120/cae2016652044

@article{ 10.5120/cae2016652044,
author = { Yoganandini A.P., Anitha G.S. },
title = { Insights of the Advancement in Maximum Power Point Tracking Techniques in PV Module },
journal = { Communications on Applied Electronics },
issue_date = { January 2016 },
volume = { 4 },
number = { 3 },
month = { January },
year = { 2016 },
issn = { 2394-4714 },
pages = { 15-25 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume4/number3/508-2016652044/ },
doi = { 10.5120/cae2016652044 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:53:25.197428+05:30
%A Yoganandini A.P.
%A Anitha G.S.
%T Insights of the Advancement in Maximum Power Point Tracking Techniques in PV Module
%J Communications on Applied Electronics
%@ 2394-4714
%V 4
%N 3
%P 15-25
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Power is the most reserved resource in the world. Power is the necessary thing in our life and has many advantages throughout the generation. There are two types of resources such as renewable and non-renewable resources. The power demand is increasing rapidly. The non-renewable energy resources such as coal, hydro are not able to fulfill these power demands because of global warming and variation in the environmental condition. To fulfill these needs, the researchers are working towards the renewable resources like wind energy and solar energy, etc. by environmental friendly technologies. Solar is the easily available and cost effective resource in nature. The photovoltaic panels are used to generate the power and the maximum power point tracking (MPPT) technology. The power converter like DC-DC converter is used to interface the load with the PV cell to get the maximum power point. The converters two modes of continuous conduction mode (CCM) and Discontinuous conduction mode (DCM). The prime contribution of this paper is to realize the significance of MPPT technique and review the existing as well as most frequently adopted the technique for enhancing MPPT. Finally, the paper discusses the research gap from the existing literature that will assist the research community to work forward for bridging the research gap.

References
  1. M. S. Sivagamasundari, P. Melba Mary, and V. K. Velvizhi. "Maximum Power Point Tracking For Photovoltaic System by Perturb and Observe Method Using Buck Boost Converter." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol 2, No. 6, PP.2433-2439, 2013.
  2. D. Choudhary1, A. R. Saxena,"DC-DC Buck Converter for MPPT of PV System”, International Journal of Emerging Technology and Advanced Engineering, Volume 4, Issue 7, PP. 813-821July 2014.
  3. G.Haritha, A.Pradeep Kumar Yadav, S.Thirumaliah, “Comparison of MPPT Algorithms for DC-DCConverters Based PV Systems”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 1, Page 1, July 2012.
  4. B. Zhao, Qiang Song, Wenhua Liu, and Yuming Zhao, “Transient DC Bias and Current Impact Effects of High-Frequency-Isolated Bidirectional DC-DC Converter in Practice”, IEEE Transactions Power Electronics, 2015.
  5. Y Shi, Rui Li, YaosuoXue, Hui Li,” Optimized Operation of Current-Fed Dual Active Bridge DC-DC Converter for PV Applications”, IEEE Transactions Industrial Electronics, February 10, 2015.
  6. Robert W. Erickson, Aaron P. Rogers, “A Microinverter for Building-Integrated Photovoltaics”, IEEE, 2009.
  7. I. A. Gowaid, Grain P. Adam, Shehab Ahmed, Derrick Holliday, and Barry W. Williams, “Analysis and Design of a Modular Multilevel Converter with Trapezoidal Modulation for Medium and High Voltage DC-DC Transformers”, IEEE Transactions Power Electronics, Vol. 30, pp.10, 2015.
  8. Mario Huemer,Robert Priewasser, Matteo Agostinelli, Christoph Unterrieder, and Stefano Marsili, “Modeling, Control, and Implementation of DC–DC Converters for Variable Frequency Operation”,IEEE Transactions Power Electronics, Vol. 29, Page. No1, 2014.
  9. A. H. El Khateb, NasrudinAbd Rahim, and JeyrajSelvaraj, “Cuk-Buck Converter for Standalone Photovoltaic System”, Journal of Clean Energy Technologies, Vol. 1, Page. No. 1, January 2013.
  10. S. N. Begam, and Dr. SP. Umayal, “PV System Using DC-DC Converter In A Delta Conversion Concept”, International Journal of Emerging Technology and Advanced Engineering,Volume 3, Page. No.5, May 2013.
  11. M Kasper, Dominik Bortis, Thomas Friedli and Johann W. Kolar, “Classification and Comparative Evaluation of PV Panel Integrated DC-DC Converter Concepts”, 15th IEEE International Power Electronics and Motion Control Conference (ECCE Europe 2012), Novi Sad, Serbia, 2012.
  12. Abdullah Abusorrah, Mohammed M. Al-Hindawi, Yusuf Al-Turki, Kuntal Mandal Damian Giaouris,Soumitro Banerjee, Spyros Voutetakis, SimiraPapadopoulou,“Stability of a boost converter fed from photovoltaic source”, Elsevier solar energy, Vol 98, pp. 458-471, 2013.
  13. A. Daoud and A. Midoun, “Maximum power point tracking techniques for solar water pumping systems”, Revue des Energies Renouvelables Vol. 13 N°3 (2010) 497 – 507.
  14. T.H. Tuffaha, M. Babar, Y. Khan and N.H. Malik, “Comparative Study of Different Hill Climbing MPPT through Simulation and Experimental Test Bed”, Research Journal of Applied Sciences, Engineering and Technology 7(20): 4258-4263, 2014.
  15. P-C.Cheng, B-R. Peng, Y-H. Liu, Y-S. Cheng and J-W. Huang, “Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique”, Energies, ISSN 1996-1073, 4 June 2015.
  16. Pongsakor Takun, Somyot Kaitwanidvilai and Chaiyan Jettanasen, “Maximum Power Point Tracking using Fuzzy Logic Control for Photovoltaic Systems”, Proceedings of the International Multiconference of Engineers and Computer Scientists (IMECS), 2011
  17. M. Savenkov & R. Gobey, "A Simple Maximum Power Point Tracker Utilizing the Ripple Correlation Control Technique", ISES-AP - 3rd International Solar Energy Society Conference – Asia Pacific Region (ISES-AP-08) Incorporating the 46th ANZSES Conference, 2008
  18. S.Adhikari and F. Li, " Coordinated V-f and P-Q Control of Solar Photovoltaic Generators With MPPT and Battery Storage in Microgrids", IEEE Transactions on Smart Grid, Vol.. 5, No. 3, 2014.
  19. T. Esram and 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.
  20. J. S. Kumari and C.S. Babu. "Comparison of maximum power point tracking algorithms for photovoltaic system." International Journal of Advances in Engineering & Technology, Vol 1, No. 5 ,PP 133-148,2011.
  21. H. A. Sher, A. F. Murtaza, A. Noman, K. E. Addoweesh, and M. Chiaberge. "An intelligent control strategy of fractional short circuit current maximum power point tracking technique for photovoltaic applications." Journal of Renewable and Sustainable Energy ,Vol 7, No. 1,2015
  22. C. H. Kumar, T. Dinesh, and S. G. Babu. "Design and Modelling of PV system and Different MPPT algorithms." International Journal of Engineering Trends and Technology (IJETT), Vol 4, No. 9 ,PP 4104-4112,2013.
  23. S. Moring,, and A. F. Popovic, "Maximum power point tracking: algorithm and software development",Delft University of Technology Faculty of EEMCS, 2012.
  24. M. D. Goudar, B. P. Patil, and V. Kumar. "A review of improved maximum peak power tracking algorithms for photovoltaic systems." International Journal of Electrical Engineering, Vol 1, PP 85-107, 2010.
  25. H. E. Park and J.H. Song. "A dP/dV feedback-controlled MPPT method for photovoltaic power system using II-SEPIC." Journal of Power Electronics, Vol 9, No. 4, PP 604-611,2009.
  26. P. Singh, D. K. Palwalia, Amit Gupta, and Prakash Kumar. "Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques",International Advanced Research Journal in Science, Engineering and Technology,Vol. 2, No. 1, April 2015.
  27. A. N. A. Ali, M. H. Saied, M. Z. Mostafa, and T. M. Abdel-Moneim. "A survey of maximum PPT techniques of PV systems", Faculty of Engineering, Alexandria University, 2012.
  28. S. Ghosh, and V. Mahendran. "Incremental Conductance MPPT Method For Photovoltaic System",Dr. MGR Educational and Research Institute,Vol. 3, Issue 4, PP.2363-2366,Jul-Aug 2013.
  29. J. H. Lee , H. Bae and B. H. Cho. "Advanced incremental conductance MPPT algorithm with a variable step size." In Power Electronics and Motion Control Conference, 12th International, pp. 603-607, 2006.
  30. A. Safari and S. Mekhilef. "Incremental conductance MPPT method for PV systems." In Electrical and computer engineering, 24th Canadian Conference, pp.345-347, 2011.
  31. T. Radjai, L. Rahmani, S. Mekhilef, and J. P. Gaubert. "Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using dSPACE." Department of Electrical Engineering, Malaysia,PP.325-337,2014.
  32. M. Yaichi, M. K.Fellah, and A. Mammeri. "A Neural Network Based MPPT Technique Controller for Photovoltaic Pumping System." International Journal of Power Electronics and Drive Systems,Vol 4, No. 2,PP. 241-255,2014.
  33. A. B. G. Bhagat, N. H. Helwa, G. E. Ahmad, and E. T. El Shenawy. "Maximum power point traking controller for PV systems using neural networks." Electrical Power Engineering, Faculty of Engineering, Cairo University, Vol 30, No. 8 ,PP. 1257-1268,2005.
  34. J. N. Reddy, B. M. Manjunatha, and M. Matam. "Improving efficiency of Photovoltaic System with Neural Network Based MPPT Connected To DC Shunt Motor",International Journal of Modern Engineering Research,Vol. 3, No. 5,PP. 901-2907,2013.
  35. M. A. Sahnouna, H. M. R. Ugaldea, J. C. Carmonaa, J. Gomanda,"Maximum power point tracking using P&O control optimized by a neural network approach: a good compromise between accuracy and complexity",The Mediterranean Green Energy Forum,2013.
  36. D. Vasarevicius, R. Martavicius, and M. Pikutis. "Application of Artificial Neural Networks for Maximum Power Point Tracking of Photovoltaic Panels." Elektronika ir Elektrotechnika, Vol 18, No. 10, PP.65-68, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

CCM DC-DC Converters DT-DC Converter DCM Maximum Power Point Techniques MPPT Techniques PV Modules.

Powered by PhDFocusTM