• DocumentCode
    150429
  • Title

    Optimization of the maximum power point tracking method for peak-current controlled flyback micro-inverter

  • Author

    Zhe Zhang ; Wang Chen ; Min Chen

  • Author_Institution
    Coll. of Electr. & Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    800
  • Lastpage
    805
  • Abstract
    The Maximum power point tracking (MPPT) algorithms are widely used in micro-inverters to maximize the PV panel´s output power. The perturb and observe (P&O) algorithm is the most commonly used method due to its simple implementation. However, since the switching frequency of the BCM micro-inverter is variable, the switching duty ratio or the panel voltage could not be simply used as the perturbed signal. In this paper, it is shown that the current reference amplitude value can be utilized to implement the P&O function. Besides, an improved adaptive-step method is also proposed to alleviate the tradeoff problem between faster response and steady-state oscillations. The design considerations of some parameters like sampling interval and perturb step limitations are also given in this paper. Simulation and experimental results are provided to validate the proposed techniques.
  • Keywords
    electric current control; invertors; maximum power point trackers; optimisation; perturbation techniques; solar cells; BCM microinverter; MPPT; P&O function algorithm; PV panel output power maximization; adaptive-step method; current reference amplitude value; faster response; maximum power point tracking method; optimization; panel voltage; peak-current controlled flyback microinverter; perturb and observe algorithm; perturb step limitations; perturbed signal; sampling interval; steady-state oscillations; switching duty ratio; switching frequency; tradeoff problem; Algorithm design and analysis; Capacitors; Inverters; Maximum power point trackers; Photovoltaic systems; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
  • Conference_Location
    Pittsburgh, PA
  • Type

    conf

  • DOI
    10.1109/ECCE.2014.6953478
  • Filename
    6953478