• DocumentCode
    2378604
  • Title

    LabVIEW Based Study for PV Module Characteristics and Their Maximum Power Point Tracking

  • Author

    Zin Mar Myint ; Bonghwan Kim ; Byeungleul Lee

  • Author_Institution
    Dept. of Mechatron. Eng., Korea Univ. of Technol. & Educ., Cheonan, South Korea
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    342
  • Lastpage
    347
  • Abstract
    In this paper, we examined the solar module characteristics at standard test condition and different temperature and irradiance using LabVIEW software. For full utilization of photovoltaic(PV) system, it can be controlled by maximum power point tracking(MPPT) algorithm. The LabVIEW programming can easily implement perturb and observe (P&O) algorithm with various step sizes and their output characteristics. The results proved that the step size influence on the performance of the MPPT system. The bigger the step size, the less the tracking time but the more oscillation occurs in the steady state. Therefore, improved control system is required to solve that problem. The scheme that we devised can adjust the step size automatically to improve the MPPT speed and reduce the oscillation under steady state as well.
  • Keywords
    control engineering computing; maximum power point trackers; photovoltaic power systems; power engineering computing; virtual instrumentation; LabVIEW software; MPPT speed; P&O algorithm; PV module characteristics; control system improvement; maximum power point tracking algorithm; oscillation reduction; perturb and observe algorithm; photovoltaic system; solar module characteristics; standard test condition; steady state; step sizes; Arrays; Equations; Mathematical model; Maximum power point trackers; Oscillators; Size control; Temperature; LabVIEW; MPPT; P&O; PV system; Step Size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4799-3250-4
  • Type

    conf

  • DOI
    10.1109/AIMS.2013.63
  • Filename
    6959941