Real-Time Implementation of Maximum Power Point Methods for Photovoltaic Systems

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 435)


The eco-friendly solution to the ever expanding demands of the energy supplies has seen a substantial growth of installed renewable energy integration to the grid in the last decade. The major portion of the installed capacity is from the photovoltaic system due to several factors like reduction in capital investment, an increase in efficiency of modules and converters, favorable government policies. The maximum power point tracking enables the maximum utilization of the available power with a constant change in environmental conditions. These techniques are judged on accuracy, speed, efficiency and fewer oscillations. Several strategies have been proposed in the last decade to maximize the power output. The article provides an overview of the operational principle of such techniques. The simulation and real-time hardware implementation have been done using Atmega328 microcontroller to verify the several performance features.


Maximum power point tracking (MPPT) Photovoltaic system (PVS) Real-time implementation (RTI) Perturb and observe (P&O) Sensors 


  1. 1.
    Ahmad, A., Samuel, P., Amar, Y.: Solarizing India: tapping the excellent potential. Renew. Energy 9, 13–17 (2016)Google Scholar
  2. 2.
    David, S.N., Santosh, S.P., Narayanan, L.S.: Control strategy for power flow management in a PV system supplying electrical loads in an air-conditioned bus. Int. Conf. Power Signals Controls Computation 60, 3185–3194 (2014)Google Scholar
  3. 3.
    Peters, M., Schmidt, T.S., Wiederkehr, D., Schneider, M.: Shedding light on solar technologies-A techno-economic assessment and its policy implications. Energy Policy 39, 6422–6439 (2011)CrossRefGoogle Scholar
  4. 4.
    Kjaer, S.B., Pedersen, J.K., Blaabjerg, F.: A review of single-phase grid-connected inverters for photovoltaic modules. IEEE Trans. Ind. Appl. 41, 1292–1306 (2005)CrossRefGoogle Scholar
  5. 5.
    Koutroulis, E., Blaabjerg, F.: Overview of maximum power point tracking techniques for photovoltaic energy production systems. Electr. Power Components Syst. 43, 1329–1351 (2015)CrossRefGoogle Scholar
  6. 6.
    Remy, G., Bethoux, O., Marchand, C., Dogan, H.: Review of MPPT techniques for photovoltaic systemsGoogle Scholar
  7. 7.
    Mastromauro, R.A., Liserre, M., Dell’Aquila, A.: Control issues in single-stage photovoltaic systems: MPPT, current and voltage control. IEEE Trans. Ind. Informatics 8, 241–254 (2012)Google Scholar
  8. 8.
    Femia, N., Petrone, G., Spagnuolo, G., Vitelli, M.: Optimization of perturb and observe maximum power point tracking method. IEEE Trans. Power Electron. 20, 963–973 (2005)CrossRefGoogle Scholar
  9. 9.
    González-Morán, C., Arboleya, P., Diaz, G., Gómez-Aleixandre, J.: Modeling photovoltaic DC primary sources as grid connected inverter supplies considering non-linear effects. IEEE Canada Electr. Power Conf. EPC, pp. 50–55 (2007)Google Scholar
  10. 10.
    Walker, G.: Evaluating MPPT converter topologies using a MATLAB PV model. J. Electr. Electron. Eng. Aust. 21, 49–55 (2001)Google Scholar
  11. 11.
    Abdelsalam, A.K., Massoud, A.M., Ahmed, S., Enjeti, P.N.: High-performance adaptive Perturb and observe MPPT technique for photovoltaic-based microgrids. IEEE Trans. Power Electron. 26, 1010–1021 (2011)CrossRefGoogle Scholar
  12. 12.
    Tey, K.S., Mekhilef, S., Member, S.: Modified incremental conductance algorithm for photovoltaic system under partial shading conditions and load variation. IEEE J. Ind. Electron. 61, 5384–5392 (2014)CrossRefGoogle Scholar
  13. 13.
    Amine, A.M., Maaroufi, M., Ouassaid, M.: New variable step size INC MPPT method for PV systems. In: International Conference Multimedia Computing and System (ICMCS), p. 5 (2014)Google Scholar
  14. 14.
    Jain, S., Agarwal, V.: A new algorithm for rapid tracking of approximate maximum power point in photovoltaic systems. IEEE Power Electron. Lett. 2, 16–19 (2004)CrossRefGoogle Scholar
  15. 15.
    Sheraz, M., Abido, M.A.: An efficient approach for parameter estimation of PV model using DE and fuzzy based MPPT controller. In: Proceedings of the IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) Linz, Austria, pp. 1–5 (2014)Google Scholar
  16. 16.
    Afghoul, H., Krim, F., Chikouche, D., Beddar, A.: Tracking the maximum power from a PV panels using of Neuro-fuzzy controller. In: Proceedings of the IEEE International Symposium on Industrial Electronics (2013)Google Scholar
  17. 17.
    Adly, M., Besheer, A.H.: An optimized fuzzy maximum power point tracker for stand alone photovoltaic systems: ant colony approach. In: 2012 7th IEEE Conference on Industrial Electronics and Applications ICIEA, pp. 113–119 (2012)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringMNNIT AllahabadAllahabadIndia

Personalised recommendations