• DocumentCode
    3446798
  • Title

    Prediction maximum power point tracking method for PV-battery micro-satellite systems with body mounted Solar Panels

  • Author

    Chen, Yu-Kai ; Chen, Kuan-Hsiung

  • Author_Institution
    Dept. of Aeronaut. Eng., Nat. Formosa Univ., Yunlin, Taiwan
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    2585
  • Lastpage
    2590
  • Abstract
    This paper presents prediction maximum power point tracking (PMPPT) controller for PV-battery micro-satellite systems with body mounted Solar Panels. The proposed PMPPT method includes conventional perturbation and observation (P&O) MPPT method and grey prediction method to improve the efficacy of PV system with auto-tuning the perturbation step. This paper uses the Taiwan Universities United Simulation (TUUSIM) software to simulate the PV output power and power budget of the designed TUUSAT_1B micro-satellite. From the simulated and experimental results, we can see that the accuracy and MPPT speed of proposed PMPPT method are better than the conventional MPPT method for regular orbit of the micro-satellite.
  • Keywords
    solar cells; solar power satellites; PV-battery microsatellite systems; body mounted solar panels; grey prediction method; prediction maximum power point tracking method; Aerospace engineering; Batteries; CMOS image sensors; Control systems; Laboratories; Photovoltaic cells; Power electronics; Power generation; Prediction methods; Sun; Grey system; Micro-satellite; P&O;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Conference (IPEC), 2010 International
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4244-5394-8
  • Type

    conf

  • DOI
    10.1109/IPEC.2010.5542359
  • Filename
    5542359