Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Fuzzy PI controlled inverter for grid interactive renewable energy systems

In this study, a fuzzy-PI controlled grid interactive inverter has been designed and implemented. The proportional and integral gains of the PI controller are decided and tuned by the fuzzy logic controller (FLC) according to required operation point of the system. Thus, adaptive nature of the FLC and robust structure of the PI controller are synthesised. Eventually, an adaptive PI controller which can adopt changes because of different operation conditions, grid disturbances and natural effects with fast transient response is obtained. Simulation studies are validated with experimental results. Both simulation and experimental results show that proposed system has fast dynamic response and tracks reference current with a low overshot and short settling time. In addition, the waveform of the inverter output current is sinusoidal and also the current is in same phase and frequency with the line voltage. Furthermore, the total harmonic distortion level of the inverter current meets the international standards. In addition, the proposed inverter system is compared with conventional PI controlled grid interactive inverter with various proportional and integral gains.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 36. Raoufi, M., Lamchich, T.M.: ‘Average current mode control of a voltage source inverter connected to the grid: application to different filter cells’, J. Electr. Eng., 2004, 55, (3–4), pp. 7782.
    5. 5)
      • 4. Baker, D.M., Agelidis, V.G., Nayer, C.V.: ‘A comparison of tri-level and bi-level current controlled grid-connected single-phase full-bridge inverters’. Proc. of the IEEE Int. Symp. on Industrial Electronics, ISIE'97, Guimarães, Portugal, July 1997, vol. 2, pp. 463468.
    6. 6)
      • 11. Vahedi, H., Sheikholeslami, A.: ‘Variable hysteresis current control applied in a shunt active filter with constant switching frequency’. Power Quality Conf. (PQC), 2010 First, Tehran, Iran, September 2010, pp. 15.
    7. 7)
      • 30. Altin, N.: ‘Simulation of fuzzy adaptive pi controlled grid interactive inverter’, Pamukkale Univ. J. Eng. Sci., 2009, 15, (3), pp. 325335.
    8. 8)
    9. 9)
      • 1. Sefa, I., Altin, N.: ‘Grid interactive photovoltaic inverters– a review’, J. Fac. Eng. Arch. Gazi Univ., 2009, 24, (3), pp. 409424.
    10. 10)
      • 6. Myrzik, J.M.A., Calais, M.: ‘String and module integrated inverters for single-phase grid connected photovoltaic systems – a review’. IEEE Bologna PowerTech Conf., Bologna, Italy, June 2003, pp. 430437.
    11. 11)
    12. 12)
    13. 13)
      • 28. Mengi, O.O., Altas, I.H.: ‘Fuzzy logic control for a wind/battery renewable energy production system’, Turk J. Electr. Eng. Comput. Sci., 2012, 20, (2), pp. 187206.
    14. 14)
      • 13. Uemura, N., Yokoyoma, T.: ‘Current control method using voltage deadbeat control for single phase utility interactive inverter’. The 25th Int. Telecommunications Energy Conf., INTELEC'03, Yokohama, Japan, October 2003, pp. 4045.
    15. 15)
      • 34. Ziegler, J.G., Nichols, N.B.: ‘Optimum settings for automatic controllers’, Trans. ASME, 1942, 64, pp. 759768.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
      • 2. Sefa, I., Özdemir, S.: ‘Multifunctional interleaved boost converter for PV systems’. IEEE Int. Symp. on Industrial Electronics (ISIE), 2010, pp. 951956.
    23. 23)
      • 5. Krampitz, I., Kreutzman, V.: ‘From masterpiece to team work, inverter market survey: sma's new circuit concept promises higher yields’, Photon, 2002, 3, pp. 5667.
    24. 24)
      • 27. Mamdani, E.H.: ‘Application of fuzzy algorithms for control of a simple dynamic plant’, IEEE Proc., 1974, 121, pp. 15851588.
    25. 25)
      • 18. Rubio, J.J.: ‘Stable and optimal controls of a proton exchange membrane fuel cell’, Int. J. Control, 2014, 87, (11), pp. 23382347.
    26. 26)
    27. 27)
    28. 28)
      • 24. Premrudeepreechacharn, S., Poapornsawan, T.: ‘Fuzzy logic control of predictive current control for grid-connected single phase inverter’. 28th IEEE Photovoltaic Specialists Conf., Anchorage, AK, September 2000, pp. 17151718.
    29. 29)
      • 25. Rubio, J.J.: ‘Adaptive least square control in discrete time of robotic arms’, Soft Comput., 2015, DOI: 10.1007/s00500-014-1300-2.
    30. 30)
    31. 31)
    32. 32)
    33. 33)
      • 20. Rubio, J.J., Zamudio, Z., Pacheco, J., Vargas, D.M.: ‘Proportional derivative control with inverse dead-zone for pendulum systems’. Mathematical Problems in Engineering, 2013, pp. 19, Article ID 173051.
    34. 34)
      • 7. Li, H., Wang, K.D., Zhang, W.R.: ‘Improved performance and control of hybrid cascaded h-bridge inverter for utility interactive renewable energy applications’. IEEE Power Electronics Specialists Conf., Orlando, USA, June 2007, pp. 24652471.
    35. 35)
    36. 36)
      • 3. Sefa, I., Altin, N., Ozdemir, S., Demirtas, M.: ‘dSPACE based control of voltage source utility interactive inverter’. IEEE 19th Int. Symp. on Power Electronics, Electrical Drives, Automation and Motion, Ischia, Italy, June 2008, pp. 662666.
    37. 37)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2014.0404
Loading

Related content

content/journals/10.1049/iet-rpg.2014.0404
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address