Design and simulation of fuzzy controller for three phase grid connected PV systems

  • Authors

    • Ayman Youssef electronics research institute
    • Mohammed El-Telbany electronics research institute
    • Abdelhalim Zekry Ain Shams Univeristy
    2019-04-07
    https://doi.org/10.14419/ijet.v7i4.17696
  • Inverter, Fuzzy Logic, Grid Connected.
  • Abstract

    this paper presents a design, complete simulation and hardware implementation of three phase grid connected inverter. The proposed scheme is fuzzy logic current control to control the current through the PV inverter switches. The inverter control system algorithms are developed and simulated in MATLAB/SIMULINK. A 9.1 Kw system is implemented and tested in MATLAB/SIMULINK. The proposed scheme achieves low harmonic distortion. A comparison between the fuzzy logic controller and other classical controllers proposed in literature is given. the controller is implemented on Arduino and a complete system is built on hardware. results show the superior performance of the fuzzy logic controller.

     

  • References

    1. [1] Ahmed Abdalrahman, Abdalhalim Zekry, and Ahmed Al- shazly. Simulation and implementation of grid-connected inverters. International Journal of Computer Applica- tions, 60(4), 2012.

      [2] Byeong-Mun Song, Youngroc Kim, Hanju Cha, and Hakju Lee. Current harmonic minimization of a grid- connected photovoltaic 500kw three-phase inverter using pr control. In Energy Conversion Congress and Exposi- tion (ECCE), 2011 IEEE, pages 1063–1068. IEEE, 2011.

      [3] A Althobaiti, M Armstrong, and MA Elgendy. Current control of three-phase grid-connected pv inverters using adaptive pr controller. In Renewable Energy Congress (IREC), 2016 7th International, pages 1–6. IEEE, 2016. https://doi.org/10.1109/IREC.2016.7507628.

      [4] D Zammit, C Spiteri Staines, and M Apap. Comparison between pi and pr current controllers in grid connected pv inverters. WASET, International Journal of Electrical, Electronic Science and Engineering, 8(2), 2014.

      [5] H Shareef, Azah Mohamed, and Ammar Hussein Mutlag. A current control strategy for a grid connected pv system using fuzzy logic controller. In Industrial Technology (ICIT), 2014 IEEE International Conference on, pages 890–894. IEEE, 2014.

      [6] ZA Ghani, MA Hannan, Azah Mohamed, et al. Three- phase photovoltaic grid-connected inverter using dspace ds1104 platform. In Power Electronics and Drive Systems (PEDS), 2011 IEEE Ninth International Conference on, pages 447–451. IEEE, 2011.

      [7] M Venkatesan, R Rajeshwari, N Deverajan, and M Kaliyamoorthy. Comparative study of three phase grid connected photovoltaic inverter using pi and fuzzy logic controller with switching losses calculation. Inter- national Journal of Power Electronics and Drive Systems, 7(2):543, 2016.

      [8] Zamre Abdul Ghani, Mohammad Abdul Hannan, and Azah Mohamed. Investigation of three-phase grid- connected inverter for photovoltaic application. Prz. Elektrotech, 88(7):8–13, 2012.

      [9] Frede Blaabjerg, Remus Teodorescu, Marco Liserre, and Adrian V Timbus. Overview of control and grid synchro- nization for distributed power generation systems. IEEE Transactions on industrial electronics, 53(5):1398–1409, 2006. https://doi.org/10.1109/TIE.2006.881997.

      [10] Jeyraj Selvaraj and Nasrudin a Rahim. Multilevel in- verter for grid-connected pv system employing digital pi controller. IEEE transactions on industrial electronics, 56(1):149–158, 2009. https://doi.org/10.1109/TIE.2008.928116.

      [11] Carlo Cecati, Fabrizio Ciancetta, and Pierluigi Siano. A multilevel inverter for photovoltaic systems with fuzzy logic control. IEEE Transactions on Industrial Electron- ics, 57(12):4115–4125, 2010. https://doi.org/10.1109/TIE.2010.2044119.

  • Downloads

  • How to Cite

    Youssef, A., El-Telbany, M., & Zekry, A. (2019). Design and simulation of fuzzy controller for three phase grid connected PV systems. International Journal of Engineering & Technology, 7(4), 5554-5557. https://doi.org/10.14419/ijet.v7i4.17696

    Received date: 2018-08-17

    Accepted date: 2019-01-30

    Published date: 2019-04-07