access icon free New maximum power point tracker for photovoltaic systems exposed to realistic operational conditions

In the outdoor environment and under real operational conditions, photovoltaic (PV) systems are affected by several parameters which cannot be considered constant, principally PV cell temperature and incident radiation, and neither of these will in practice be uniform across a PV array or even an individual module. This last aspect results in non-standard IV characteristics that can exhibit more than one local maximum. The challenge of the maximum power point tracker is finding the true maximum power point (MPP) in the face of all the variation and complexity the real environment imposes on the PV behaviour. It must do this quickly and effectively so the algorithm which controls the DC/DC converter that controls the PV system terminal voltage and thus its operating power point has to be fast and precise. This study proposes a new algorithm that is demonstrated to be highly effective in tracking the MPP under real operating conditions.

Inspec keywords: maximum power point trackers; photovoltaic power systems

Other keywords: photovoltaic systems; incident radiation; maximum power point tracker; MPP tracking; PV cell temperature; PV array; realistic operational conditions; PV systems

Subjects: Solar power stations and photovoltaic power systems; DC-DC power convertors

References

    1. 1)
      • 37. Dillon, W.E.: ‘PSpice Tutorials’, January 2011.
    2. 2)
      • 3. Cameron, C.P., Stein, J.S., Tasca, C.A.: ‘PV performance modeling workshop summary report’. Technical Report, Sandia National Laboratories, May 2011.
    3. 3)
      • 35. Castañer, L., Silvestre, S.: ‘Modelling photovoltaic system using PSpice’ (Wiley, England, 2002, 1st edn.).
    4. 4)
      • 13. Kim, Y., Jo, H., Kim, D.: ‘A new peak power tracker for cost-effective photovoltaic power system’. Proc. 31st Intersociety Energy Conversion Engineering Conference, 1996 (IECEC 96), 1996, vol. 3, pp. 16731678.
    5. 5)
      • 23. Taheri, H., Salam, Z., Ishaque, K., Syafaruddin, M.H.: ‘A novel maximum power point tracking control of photovoltaic system under partial and rapidly fluctuating shadow conditions using differential evolution’. Proc. 2010 IEEE Symp. Industrial Electronics Applications (ISIEA), 2010, pp. 8287.
    6. 6)
      • 30. Syafaruddin, M.H., Hiyama, T., Karetepe, E.: ‘Polar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic system’, IET Renew. Power Gener., 2009, 34, pp. 25972606.
    7. 7)
    8. 8)
    9. 9)
      • 19. Mashaly, H.M., Sharaf, A.M., Mansour, M., El-Sattar, A.A.: ‘A photovoltaic maximum power tracking using neural networks’. Proc. Third IEEE Conf. Control Applications, 1994, 1994, vol. 1, pp. 167172.
    10. 10)
    11. 11)
    12. 12)
      • 33. Kar, A.: ‘A new maximum power point tracking algorithm for pv modules under partial shading and rapidly varying illumination’. Proc. 2009 Annual IEEE India Conf. (INDICON), 2009, pp. 14.
    13. 13)
    14. 14)
    15. 15)
      • 8. Femia, N., Petrone, G., Spagnuolo, G., Vitelli, M.: ‘Perturb and observe MPPT technique robustness improved’. Proc. 2004 IEEE Int. Symp. Industrial Electronics, 2004, vol. 2, pp. 845850.
    16. 16)
      • 32. Wenying, C., Yongjun, L., Weiliang, L., Shuangsai, L.: ‘Research on MPPT of PV systems based on BP neural network’, Adv. Mater. Res., 2012, 466-467, pp. 25972606.
    17. 17)
      • 14. Xiao, W., Dunford, W.: ‘A modified adaptive hill climbing mppt method for photovoltaic power systems’. Proc. 2004 IEEE 35th Annual Power Electronics Specialists Conf., 2004 (PESC 04), 2004, vol. 3, pp. 19571963.
    18. 18)
      • 28. Ramaprabha, R., Mathur, B.: ‘Intelligent controller based maximum power point tracking for solar PV system’, Int. J. Comput. Appl., 2011, 12, pp. 3741.
    19. 19)
      • 39. Ji, Y.-H., Jung, D.-Y., Won, C.-Y., Lee, B.-K., Kim, J.-W.: ‘Maximum power point tracking method for pv array under partially shaded condition’. IEEE Energy Conversion Congress and Exposition, 2009 (ECCE 2009), 2009, pp. 307312.
    20. 20)
    21. 21)
      • 12. Teulings, W.J.A., Marpinard, J.-C., Capel, A., O'Sullivan, D.: ‘A new maximum power point tracking system’. Proc. 24th Annual IEEE Power Electronics Specialists Conf., 1993 (PESC ‘93 Record), 1993, pp. 833838.
    22. 22)
    23. 23)
    24. 24)
      • 16. Irisawa, K., Saito, T., Takano, I., Sawada, Y.: ‘Maximum power point tracking control of photovoltaic generation system under non-uniform insolation by means of monitoring cells’. Photovoltaic Specialists Conf., 2000 (Conf. Record of the Twenty-Eighth IEEE), 2000, pp. 17071710.
    25. 25)
      • 31. Keya, H., Wenshi, L., Xiaoyang, H.: ‘MPPT of solar energy generating system with fuzzy control and artificial neural network’. Proc. 2011 Int. Conf. Information Technology, Computer Engineering and Management Sciences (ICM), 2011, vol. 1, pp. 230233.
    26. 26)
    27. 27)
      • 5. McEvoy, A., Markvart, T., Ner, L.: ‘Practical handbook of photovoltaics: fundamentals and applications’ (Academic Press, 2011).
    28. 28)
      • 36. Silvestre, S., Guash, D., Moreno, A., Julve, J., Castañer, L.: ‘A comparison on modelling and simulation of PV systems using Matlab and Spice’. Technical Digest of 11th Int. Photovoltaic Science and Engineering Conf., Hokkaido, 1999, pp. 901902.
    29. 29)
      • 6. Desai, H., Patel, H.: ‘Maximum power point algorithm in pv generation: an overview’. Proc. Seventh Int. Conf. Power Electronics and Drive Systems, 2007 (PEDS ’07), 2007, pp. 624630.
    30. 30)
      • 26. Ramaprabha, R., Gothandaraman, V., Kanimozhi, K., Divya, R., Mathur, B.L.: ‘Maximum power point tracking using GA-optimized artificial neural network for Solar PV system’. Proc. 2011 First Int. Conf. Electrical Energy Systems (ICEES), 2011, pp. 264268.
    31. 31)
    32. 32)
    33. 33)
      • 9. Alonso, R., Ibaez, P., Martinez, V., Roman, E., Sanz, A.: ‘An innovative perturb, observe and check algorithm for partially shaded PV systems’. Proc. 13th European Conf. Power Electronics and Applications, 2009 (EPE ’09), 2009, pp. 18.
    34. 34)
    35. 35)
      • 3. Cameron, C.P., Stein, J.S., Tasca, C.A.: ‘PV performance modeling workshop summary report’. Technical Report, Sandia National Laboratories, May 2011.
    36. 36)
      • 2. Bouabana, A., Al-Diab, A., Sourkounis, C.: ‘Influence of a high precision current sensor for improving the efficiency of PV power systems’, Compatibility and Power Electronics (CPE), 7th International conference workshop, 2011, pp. 196201.
    37. 37)
      • 7. Wu, Y.-E., Shen, C.-L., Wu, C.-Y.: ‘Research and improvement of maximum power point tracking for photovoltaic systems’. Int. Conf. Power Electronics and Drive Systems, 2009 (PEDS 2009), 2009, pp. 13081312.
    38. 38)
      • 34. Ekuakille, A., Vendramin, G., Fedele, A., Vasanelli, L., Trotta, A.: ‘PV maximum power point tracking through pyranometric sensor: modelling and characterization’, Int. J. Smart Sens. Intell. Syst., 2008, 1, (3), pp. 659678.
    39. 39)
    40. 40)
      • 37. Dillon, W.E.: ‘PSpice Tutorials’, January 2011.
    41. 41)
      • 29. de Medeiros Torres, A., Antunes, F.L.M., Soares dos Reis, F.: ‘An artificial neural network-based real time maximum power tracking controller for connecting a PV system to the grid’. Proc. 24th Annual Conf. IEEE Industrial Electronics Society (IECON ’98), 1998, vol. 4, pp. 554558.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2013.0170
Loading

Related content

content/journals/10.1049/iet-rpg.2013.0170
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading