Experimental evaluation of a partially shaded photovoltaic system with a fuzzy logic-based peak power tracking control strategy

Nilesh Shah; Chudamani Rajagopalan

Experimental evaluation of a partially shaded photovoltaic system with a fuzzy logic-based peak power tracking control strategy

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Author(s): Nilesh Shah ¹ and Chudamani Rajagopalan ¹
- Affiliations: 1: Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, Gujarat, India
Source: Volume 10, Issue 1, January 2016, p. 98 – 107
DOI: 10.1049/iet-rpg.2015.0098 , Print ISSN 1752-1416, Online ISSN 1752-1424

Received 10/03/2015, Accepted 30/06/2015, Revised 10/05/2015, Published 01/01/2016

Partial shading on photovoltaic (PV) array makes the task of operating the PV system at its peak power more complex due to multiple peak points on power–voltage (P–V) characteristic. Amongst multiple peaks, it is challenging to find global peak as there is a possibility of the system getting stuck at a local peak otherwise considerable loss of power may occur. In this study, experimental evaluation of a novel algorithm which tracks global peak is presented. The algorithm is capable of tracking the peak power under all partial shadowing and uniformly varying insolation conditions. The algorithm scans the entire P–V curve in larger steps by varying the duty cycle of DC–DC converter without missing any peak to determine approximate location of peak power point and then uses fuzzy logic to track the real global peak. The algorithm is verified through simulation and the results are validated through hardware implementation using TMS320F28335 digital signal processor. The experimental results match with the simulation results that justify the performance and robustness of the proposed algorithm for tracking global peak power when the PV array is partially shaded. The comparative evaluation of the proposed algorithm with conventional perturb and observe-based method is also carried out experimentally.

References

1. 1)
  - 23. Walker, G.: ‘Evaluating MPPT converter topologies using a MATLAB PV model’, J. Electr. Electron. Eng. Aust., 2001, 21, pp. 49–56.
2. 2)
  - 26. Berberkie, S., Mather, P.J., Holmes, V., et al: ‘Design of a monitoring and test system for PV based renewable energy systems’. Int. Conf. on Renewable Energies and Power Quality (ICREPQ'11), April 2010.
3. 3)
  - 17. Ahmed, N.A., Miyatake, M.: ‘A novel maximum power point tracking for photovoltaic applications under partially shaded insulation conditions’, Electr. Power Syst. Res., 2008, 78, (5), pp. 777–784 (doi: 10.1016/j.epsr.2007.05.026).
4. 4)
  - 11. Ishaque, K., Salam, Z., Amjad, M., et al: ‘An improved particle swarm optimization (PSO) based MPPT for PV with reduced steady state oscillation’, IEEE Trans. Power Electron., 2012, 27, (8), pp. 3627–3638 (doi: 10.1109/TPEL.2012.2185713).
5. 5)
  - 21. Solanki, C.S.: ‘Solar photovoltaics: fundamentals, technologies and applications’ (PHI Learning Private Limited, New Delhi, 2009).
6. 6)
  - 10. Liu, Y.: ‘Advance control of photovoltaic converters’, PhD thesis, Department of Engineering, University of Leicester, UK, April 2009.
7. 7)
  - 5. Kobayashi, K., Takano, I., Sawada, Y.: ‘A study on a two stage maximum power point tracking control of a photovoltaic system under partially shaded insolation conditions’, IEEE Power Eng. Soc. Gen. Meet., 2003, 4, pp. 2612–2617.
8. 8)
  - 4. Soon, T.K., Mekhilef, S.: ‘Modiﬁed incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level’, Sol. Energy, 2014, 101, pp. 333–342 (doi: 10.1016/j.solener.2014.01.003).
9. 9)
  - 7. Kazmi, S., Goto, H., Ichinokura, O., et al: ‘An improved and very efficient MPPT controller for PV systems subjected to rapidly varying atmospheric conditions and partial shading’. Proc. Int. Conf. Australasian Universities Power Engineering Conf. (AUPEC), 2009, pp. 1–6.
10. 10)
  - 19. Shah, N., Chudamani, R.: ‘A novel algorithm for global peak power point tracking in partially shaded grid-connected PV system’. Proc. Int. Conf. IEEE Power and Energy Conf. (PECon), Kota kinabalu, Sabah, Malaysia, 2–5 December 2012, pp. 558–563.
11. 11)
  - 8. Esram, T., Chapman, P.L.: ‘Comparison of photovoltaic array maximum power point tracking techniques’, IEEE Trans. Energy Convers., 2007, 22, (2), pp. 439–449 (doi: 10.1109/TEC.2006.874230).
12. 12)
  - 24. Ross, T.J.: ‘Fuzzy logic with engineering applications’ (John Wiley & Sons, Hoboken, Ltd., Third Edition, 2010).
13. 13)
  - 6. Noguchi, T., Togashi, S., Nakamoto, R.: ‘Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic-and-converter module system’, IEEE Trans. Ind. Electron., 2002, 49, (1), pp. 217–223 (doi: 10.1109/41.982265).
14. 14)
  - 8. Ji, Y.H., Jung, D.Y., Kim, J.G., et al: ‘A real maximum power point tracking method for mismatching compensation in PV array under partially shaded conditions’, IEEE Trans. Power Electron., 2011, 26, (4), pp. 1001–1009 (doi: 10.1109/TPEL.2010.2089537).
15. 15)
  - 7. Bidram, A., Davoudi, A., Balog, R.S.: ‘Control and circuit techniques to mitigate partial shading effects in photovoltaic arrays’, IEEE J. Photovoltaics, 2012, 2, (4), pp. 532–546 (doi: 10.1109/JPHOTOV.2012.2202879).
16. 16)
  - 14. Alajmi, B., Ahmed, K., Finney, S., et al: ‘A maximum power point tracking technique for partially shaded photovoltaic systems in microgrids’, IEEE Trans. Ind. Electron., 2013, 60, (4), pp. 1596–1606 (doi: 10.1109/TIE.2011.2168796).
17. 17)
  - 12. Miyatake, M., Veerachary, M., Toriumi, F., et al: ‘Maximum power point tracking of multiple photovoltaic arrays: a PSO approach’, IEEE Trans. Aerosp. Electron. Syst., 2011, 47, (1), pp. 367–380 (doi: 10.1109/TAES.2011.5705681).
18. 18)
  - 13. Lain, K.L., Jhang, J.H.: ‘A maximum power point tracking method based on perturb-and-observe combined with particle swam optimization’, IEEE J. Photovolt., 2014, 4, (2), pp. 626–633 (doi: 10.1109/JPHOTOV.2013.2297513).
19. 19)
  - 25. Mohan, N., Undeland, T.M., Robbins, W.P.: ‘Power electronics: converters, applications, and design’ (John Wiley & Sons Hoboken, Second Edition,, 1995).
20. 20)
  - 20. Patel, H., Agarwal, V.: ‘MATLAB-based modeling to study the effects of partial shading on PV array characteristics’, IEEE Trans. Energy Convers., 2008, 23, (1), pp. 302–310 (doi: 10.1109/TEC.2007.914308).
21. 21)
  - 22. Seyedmahmoudian, M., Mekhilef, S., Rahmani, R., et al: ‘Analytical modeling of partially shaded photovoltaic systems’, Energies, 2013, 6, (1), pp. 128–144 (doi: 10.3390/en6010128).
22. 22)
  - 18. Miyatake, M., Inada, T., Hiratsuka, I., et al: ‘Control characteristics of a Fibonacci-search-based maximum power point tracker when a photovoltaic array is partially shaded’. Power Electronics and Motion Control Conf. (IPEMC2004), 2004, vol. 2, pp. 816–821.
23. 23)
  - 3. Safari, A., Mekhilef, S.: ‘Simulation and hardware implementation of incremental conductance MPPT with direct control method using cuk converter’, IEEE Trans. Ind. Electron., 2011, 58, (4), pp. 1154–1161 (doi: 10.1109/TIE.2010.2048834).
24. 24)
  - 9. Patel, H., Agarwal, V.: ‘Maximum power point tracking scheme for PV systems operating under partially shaded conditions’, IEEE Trans. Ind. Electron., 2008, 55, (4), pp. 1689–1698 (doi: 10.1109/TIE.2008.917118).
25. 25)
  - 16. Salam, Z., Ahmed, J., Merugu, B.S.: ‘The application of soft computing methods for MPPT of PV system: a technological and status review’, Appl. Energy, 2013, 107, pp. 135–148 (doi: 10.1016/j.apenergy.2013.02.008).
26. 26)
  - 2. Jain, S., Agarwal, V.: ‘Comparison of the performance of maximum power point tracking schemes applied to single-stage grid-connected photovoltaic systems’, IET Electr. Power Appl., 2007, 1, (5), pp. 753–762 (doi: 10.1049/iet-epa:20060475).

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Experimental evaluation of a partially shaded photovoltaic system with a fuzzy logic-based peak power tracking control strategy

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