• DocumentCode
    3196449
  • Title

    A double-linear approximation algorithm to achieve maximum-power-point tracking for PV arrays

  • Author

    Shen, Chih-Lung ; Wu, Yu-En ; Liu, Fang-Shiang

  • Author_Institution
    Dept. of Electron. Eng., Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
  • fYear
    2009
  • fDate
    2-5 Nov. 2009
  • Firstpage
    758
  • Lastpage
    763
  • Abstract
    In this paper, a double-linear approximation algorithm (DLAA) to achieve maximum-power-point tracking (MPPT) for PV arrays is proposed. The DLAA is based on that the trajectories of maximum power point varying with irradiation and temperature are approximately linear. With the DLAA, a maximum power point can be determined instantaneously. Moreover, complicated calculation and perturbation about an optimal point can be avoided. In the paper a corresponding circuit to complete DLAA is proposed as well, of which configuration is simple. As a result, the proposed circuit is cost-effective and can be embedded into PV arrays easily. An implementation example of PV power system with the proposed MPPT is designed and the DLAA is compared with the perturb-and-observe method. From simulated and experimental results, the proposed MPPT algorithm has been verified and the feasibility of the proposed circuit is also demonstrated.
  • Keywords
    approximation theory; maximum power point trackers; photovoltaic power systems; double linear approximation algorithm; maximum power point tracking; perturb-and-observe method; photovoltaic arrays; photovoltaic power system; Approximation algorithms; Circuit simulation; Environmentally friendly manufacturing techniques; Feedback; Fossil fuels; Linear approximation; Power engineering and energy; Power system simulation; Temperature; Voltage; Maximum power point tracking; PV arrays; double-linear approximation algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Drive Systems, 2009. PEDS 2009. International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-4166-2
  • Electronic_ISBN
    978-1-4244-4167-9
  • Type

    conf

  • DOI
    10.1109/PEDS.2009.5385863
  • Filename
    5385863