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Comparison of Solar Maximum Power Tracking Methods for Stand Alone Solar Photo-voltaic System

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
P. S. Revankar, W. Z. Gandhare

P S Revankar and W Z Gandhare. Comparison of Solar Maximum Power Tracking Methods for Stand Alone Solar Photo-voltaic System. International Journal of Computer Applications 167(11):28-35, June 2017. BibTeX

	author = {P. S. Revankar and W. Z. Gandhare},
	title = {Comparison of Solar Maximum Power Tracking Methods for Stand Alone Solar Photo-voltaic System},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {11},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {28-35},
	numpages = {8},
	url = {},
	doi = {10.5120/ijca2017914380},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Maximum Power Point Tracker (MPPTs) play a major role in photovoltaic (PV) power systems because they maximize power output from a PV system for a given set of conditions, and thereby maximizing the array efficiency. The paper presents the comparison of solar maximum power tracking methods for a stand-alone solar PV system. The I-V & P-V characteristics are obtained for different values of solar insolation by maintaining the cell temperature constant. The solar MPPT methods are responsible for deriving maximum possible power from photovoltaic module to the load via a boost converter used for stepping up the voltage to required magnitude. The main aim will be to track the maximum power point of the photovoltaic module to extract maximum power. The Maximum Power Point Tracking (MPPT) algorithms, which are based on the incremental conductance method and Perturb and Observe method, are also described. Both these algorithms are applied to stand-alone system feeding to 1kw load. The simulation results were presented to validate that the Incremental conductance approach has better steady state performance than the traditional P and O under various conditions along with improved efficiency of the PV system. The algorithm structure was built using MATLAB Simulink software.


  1. P. S. Ravankar, W. Z. Gandhare, and A.G. Thosar, Government college of Engineering, Auranagabad,”Maximum Power Point Tracking for PV Systems using MATLAB/Simulink”2010, Second International Conference on Machine Learning and Computing.
  2. Solanki S. Chetan. Solar Photovoltaics: Fundamentals, Technologies and Applications, New Delhi, PHI, 2012.
  3. Erickson, R. W.; Maksimovic, D. Fundamentals of Power Electronics; Kluwer Academic Publishers, 2001.
  4. Villalva, M. G.; Gazoli, J. R.; Filho, E.R. Comprehensive Approach to Modelling and Simulation of Photovoltaic Arrays. IEEE Trans. PowerElec. 2009, 5, 1198–1208.
  5. Seyedmahmoudian, M.; Mekhilef, S.; Rahmani, R.; Yusof, R.; Renani, E. T. Analytical Modelling of Partially Shaded Photovoltaic Systems.MDPI J. Energ. 2013, 6, 128–144.
  6. Kasa, N.; Lida, T.; Iwamoto, H. Maximum Power Point Tracking with Capacitor Identifier for Photovoltaic Power
  7. System. Proc. of EighthInternational Conference on Power Electronics, variable speed drives. 2000, 147, 130–35.
  8. Xiao, W.; Dunford, W. G. A Modified Adaptive Hill Climbing MPPT method for photovoltaic power systems. Proceedings of 35th AnnualIEEE Power Electronics Specific Conference: 1957–63. 2004.
  9. Cavalcanti, M.C.; Oliveira, K.C.; Azevedo, G.M.S.; Neves, F.A.S. Comparative Study of Maximum Power Point Tracking Techniques forPhotovoltaic Systems. Electron Potencia 2007, 12, 163–171.
  10. Esram, T.; Chapman, L. P. Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques. IEEE Trans. Energy Conv. 2007, 22,439–449.
  11. Safari, A.; Mekhilef, S. Simulation and Hardware Implementation of Incremental Conductance MPPT with Direct Control Method Using Cuk Converter. IEEE Trans. Ind. Elec. 2011, 58, 1154–1161.
  12. Yang Chih-Yu; Hsieh Chun-Yu; Feng Fu-Kuei; Chen Ke-Horng. Highly Efficient Analog Maximum Power Point Tracking (AMPPT) in aPhotovoltaic System. IEEE Transaction on Circuits and Systems-1, 2012, 59.
  13. Sayed Khairy; Abdel-Salam Mazen; Ahmed Adel; Ahmed Mahmoud. New High Voltage Gain Dual-boost DC-DC Converter for Photovoltaic Power Systems. Int. J. Elec. Power Comp. Sys. 2012, 40, 711–728.
  14. De Brito, M.; Gomes, A.; Galotto, L.; Poltronieri, L.; Melo Guilherme de Azevedo e Melo, E.; Canesin, C. A. Evaluation of the Main MPPT Techniques for Photovoltaic Applications. IEEE Trans. Ind. Elec. 2013, 60, 1156–1167.
  15. Tey Kok Soon; Saad Mekhilef; Azadeh Safari. Simple and Low Cost Incremental Conductance Maximum Power Point Tracking Using Buck-Boost Converter. J. Renew. Sustain. Energ. 2013, 5, 023106.
  16. Houssam Issam; Locment Fabrice; Sechilariu Manuela. Experimental Analysis of Impact of MPPT Methods on Energy Efficiency for Photovoltaic Power System. J. Elec. Power Energy Syst. 2013, 46, 98–107.
  17. Kok Soon Tey; Saad Mekhilef, Modified Incremental Conductance Algorithm for Photovoltaic System Under Partial Shading Condition& Load Variation. IEEE Trans. Ind. Elec. 2014, 61, 5384–5392.


Perturb and Observe, Incremental conductance, MPPT, MATLAB/Simulink