• DocumentCode
    1589775
  • Title

    A maximum power point tracking algorithm based on gradient descent method

  • Author

    Zhang, Jianpo ; Wang, Tao ; Ran, Huijuan

  • Author_Institution
    Key Lab. of Power Syst. Protection, North China Electr. Power Univ., Baoding, China
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Solar energy is considered as one of the most effective, less expensive, harmless and less environment pollution effect of renewable energy sources, the problem of using solar power including varying weather condition brings different output power of the photovoltaic (PV) array, which may cause a serious waste of solar power, for solving this problem, a Maximum Power Point Tracking (MPPT) strategy is always required to make PV array keep giving maximum power under different environment condition. In this paper, a variable step MPPT based on gradient descent method is proposed for faster and more precise tracking process, a model based on matlab/simulink was established to analysis the performance of the proposed MPPT strategy, simulation results prove that this MPPT method is practical with a better performance than the traditional strategies.
  • Keywords
    mathematical analysis; renewable energy sources; solar cells; gradient descent method; maximum power point tracking algorithm; photovoltaic array; renewable energy sources; Analytical models; Character generation; Mathematical model; Pollution; Power generation; Radio access networks; Renewable energy resources; Solar energy; Solar power generation; Voltage; Gradient Descent Method; Maximum Power Point Tracking (MPPT); Photovoltaic (PV); Variable Step;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275737
  • Filename
    5275737