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A novel P&OT-Neville’s interpolation MPPT scheme for maximum PV system energy extraction

1Department of Electrical and Electronics Engineering, Institute of Aeronautical Engineering, Hyderabad, 500043,, India

2Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Kakinada, 533003, India

Published: 15 Dec 2018.
Editor(s): H Hadiyanto

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Photovoltaic (PV) system posses an optimal operating pointing, termed as Maximum Power Point (MPP). Using Maximum Power Point Tracking (MPPT) algorithm, MPP of PV system has to be tracked continuously in any climatic conditions. In general, traditional Perturb and Observe (P&OT) MPP tracker is widely used among existing controllers. But, P&OT fails to harvest maximum power from solar panel, in addition oscillations around MPP results in low efficiency of the PV system. The contradiction involved in the traditional controller can be addressed as P&OT operates with a fixed step size. Hence, with large step size MPP can be reached quickly but the magnitude of oscillations around MPP are high. Similarly, when P&OT operated with tiny step size magnitude of oscillations can be reduced at the same time PV system consumes much time to reach MPP. In order to eliminate the contradiction involved with traditional MPPT scheme and effectively optimize PV system energy, this paper put forwards a hybrid MPPT scheme based on P&OT and Neville interpolation. The proposed scheme is executed in two stages. In the first stage, P&OT is operated with a large step size till the voltage reaches near to maximum point. In the second stage, Neville interpolation is used to find the maximum power point. The performance of the proposed scheme is compared with Golden Section Search (GSS) and P&OT MPPT controllers. With the proposed scheme the convergence time required to reach MPP is improved greatly. Experimental prototype is designed and developed to verify the performance of the proposed scheme. Experimental and simulation results provide enough evidence to show superiority of the proposed scheme.

Article History: Received December 15th 2017; Received in revised form July 16th 2018; Accepted September 12th 2018; Available online

How to Cite This Article: Bhukya, M. N. and Kota, V. R. (2018) A Novel PandOT-Neville’s Interpolation MPPT Scheme for Maximum PV system energy extraction. International Journal of Renewable Energy Development, 7(3), 251-260

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Keywords: Photovoltaic (PV) system; Maximum Power Point Tracking (MPPT); Traditional Perturb and Observe(P&OT); Neville Interpolation and Golden ratio

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  1. Abdelsalam, AK., Massoud, AM., Ahmed, S., Enjeti, PN. (2011) High performance adaptive perturb and observe MPPT technique for photovoltaic based micro-grids. IEEE Transaction on Power Electronics, 26(4), 1010-21
  2. Adly, M., El-Sherif, H., Ibrahim, M., (2011) Maximum Power Point Tracker for a PV cell using Fuzzy agent adapted by the fractional open circuit voltage technique. In: proceedings of the IEEE international conference on fuzzy systems, 1918-22
  3. Alajmi, BN., Ahmed, KH., Finney, SJ., Williams, BW. (2011) Fuzzy-logic-control approach of a modified hill-climbing method for maximum power point in microgrid standalone photovoltaic system. IEEE Transaction on Power Electronics, 26(4), 1022-30
  4. Ali-Reza, R., Moradi, Md-H., Shahriar, J. (2013) Classification and Comparison of Maximum Power Point Tracking techniques for Photovoltaic System: A Review, Renewable and Sustainable Energy Reviews, 9, 433-443
  5. Andrea, M., and Andrew, R. K. (2015) Maximum Power Point Tracking converter based on the Open Circuit voltage method for Thermoelectric Generators, IEEE Transaction on Power Electronics, 30(2), 828-839
  6. Baltas, P., Tortoreli, M., Russell, PE. (1986) Evaluation of power output for fixed and step tracking photovoltaic arrays. Solar Energy, 37(2), 147-163
  7. Carannante, G., Fraddano, C., Pagano, M., Piegari, L. (2009) Experimental performance of MPPT algorithm for photovoltaic sources subjest to inhomogeneous insolation, IEEE Transaction on Industrial Electronics, 56(11), 4374-80
  8. Casadei, D. Grandi, G., Rossi, C. (2006) Single-Phase Single-Stage photovoltaic generation system based on ripple correlation control maximum power point tracking, IEEE Transaction on Energy Conversion, 21, 562-8
  9. Chia-Hung, L., Cong-Hui, H., Yi-Chun, D., and Jian-Livng, C. (2011) Maximum photovoltaic power tracking for the PV array using fractional–order incremental conductance method, Applied Energy, 88(12), 4840-4847
  10. de Brito, MAG., Sampaio, LP., Luigi, G., E Melo, GA., Canesin, CA. (2011) Comparative analysis of MPPT technique for PV applications. In: proceedings of 2011 International Conference on Clean Electrical Power (ICCEP), 99-104
  11. Dezso, S., Laszlo, M., Tamas, K., Sergiu, V., Remus, T. (2013) On the Perturb-and-Observe and Incremental Conductance MPPT methods for PV system, IEEE Journal of Photo-voltaics, 3(3), 1070-1078
  12. Eltawil, A. Mohamed., and Zhengming, Zhao. (2013) MPPT techniques for photovoltaic applications, Renewable and Sustainable Energy Reviews, 25, 793-813
  13. Emilio, M., Giovanni, P., and Giovanni, S. (2014) A two steps algorithm improving the PandO steady state MPPT efficiency, Applied Energy, 113, 414-421
  14. Femia, N., Lisi, G., Petrone, G., Spagnudo, G., and Vitelli, M. (2008) Distributed maximum power point tracking of photovoltaic arrays: novel approach and system analysis, IEEE Transaction on Industrial Electronics, 55(7), 2610-21
  15. Hart, GW., Branz, HM., Cox, CH. (1984) Experimental tests of open loop maximum power point tracking techniques, Solar Cells, 13, 185-95
  16. Karatepe, E. S., Hiyama, T. (2010) Simple and High- efficiency photovoltaic system under non-uniform operating conditions, IET Renewable Power Generation, 4(4), 354-368
  17. Kim-II, S., Kim, M., Youn, M. (2006) New Maximum Power Point Tracker using Sliding-Mode observer for estimation of solar array current in the grid-connected photovoltaic system, IEEE Transaction on Industrial Electronics, 53(4), 1027-1035
  18. Koutroulis, E., Kalaitzakis, K., Voulgaris, NC., (2001) Development of a microcontroller based photovoltaic maximum power point tracking control system, IEEE Transaction on Power Electronics, 16(21), 46-54
  19. Liu, F., Duan, S., Liu, F., Liu, B., and Kang, Y. (2008) A variable step size INC MPPT method for PV systems. IEEE Transaction on Industrial Electronics, 55(7), 2622-2628
  20. Masoum, MAS., Dehbonei, H., Fuchs, EF. (2002) Theoretical and experimental analyses of photovoltaic systems with voltage and current based maximum power point tracking. IEEE Transaction on Energy Conversion, 17(4), 514-522
  21. Muralidhar, K., and Susovon, S. (2015) Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems. IEEE Transactions on Industrial Electronics, 62(9), 5549-5559
  22. Qiang, M., Mingwei, S., Liying, L., and Josep, M. G. (2011) A novel improved variable step-size Incremental-Resistance MPPT method for PV systems, IEEE Transaction on Industrial Electronics, 50(4), 749-758
  23. Safari, A., Mekhilef, S. (2011). Simulation and hardware implementation of incremental conductance MPPT with direct control method using CUK converter. IEEE Transaction on Industrial Electronics, 58(4), 1154-1161
  24. Sera, D., Teodorescu, R., Hantschel, J., and Knoll, M. (2008) Optimized maximum power point tracker for fast changing environmental conditions. IEEE Transaction on Industrial Electronics, 55(7), 2629-37
  25. Slimane, H., Jean-Paul, G., and Fateh, K. (2014) Experimental analysis of genetic algorithm based MPPT for PV systems, International Renewable and Sustainable Energy Conference, 7-12, DOI: 10.1109/IRSEC.2014.7059887
  26. Solodornik, E., and Liu, S. D. R. (2004) Power controller design for maximum power tracking in solar installation. IEEE Transaction on Power Electronics, 19(5), 1295-1304
  27. Subudhi, B., and Pradhan, R., (2013) A comparative study on maximum power point tracking techniques for photovoltaic arrays. IEEE Trans. on Sustainable Energy, 4(1), 89-98
  28. Trishan, E., Patrick, L. C. (2007) Comparison of Photovoltaic Array Maximum Power Point Tracking techniques, IEEE Transaction on Energy Conversion, 22(2), 439-449
  29. Veerachary, M., Senjyu, T., and Uezato, K. (2003) Neural Network based maximum-power-point-tracking of coupled inductor interleaved-boost-converter-supplied PV system using Fuzzy Controller. IEEE Transaction on Industrial Electronics, 50(4), 749-758
  30. Venkata, R. K, Muralidhar, N. B. (2016) “A Simple and Efficient MPPT Scheme for PV Module using 2-Dimensional Lookup Table”. pp.1-7, IEEE Power and Energy Conference at Illinois (PECI), DOI: 10.1109/PECI.2016.745Venkata,R.K.,andMuralidhar,N.B.(2016)
  31. Xiao, W., Lind, M. G. J., Dunford, WG., Capel, A. (2006) Real-time identification of optimal operating point in photovoltaic power systems. IEEE Trans. on Industrial Ele., 53(4), 1017-1026
  32. Xu, D., Ma, Y., and Chen, Q. (2014) A global maximum power point tracking method based on interval short circuit current, European Conference on Power Electronics and Applications, DOI: 10.1109/EPE.2014.6910724

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