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A comparative study on maximum power point tracking techniques for photovoltaic generation systems operating under fast changing environments

  • Po Cheng Chen
  • , Po Yen Chen
  • , Yi Hua Liu*
  • , Jing Hsiao Chen
  • , Yi Feng Luo
  • *Corresponding author for this work
  • National Taiwan University of Science and Technology
  • AsusTeK Computer Inc.

Research output: Contribution to journalJournal Article peer-review

108 Scopus citations

Abstract

Perturb and observe (P&O) maximum power point tracking (MPPT) algorithms are commonly used in photovoltaic (PV) generation system (PGS) due to its ease of implementation. However, conventional fixed step-size P&O exhibits a trade-off between tracking speed and tracking accuracy. By contrast, variable step-size MPPT can achieve satisfactory tracking accuracy and speed while maintains advantage of simple calculation. This paper aimed to study the performance of different variable step-size P&O MPPT techniques. Initially, a MATLAB based PGS model is developed and validated. Then, variable step-size MPPT methods are compared in terms of energy captured, rise time, settling time and steady-state tracking accuracy under various operating conditions. Performance indices are also proposed in this paper to improve the reliability of the comparison. Finally, the response of these MPPT techniques is evaluated in rapidly changing weather conditions using international standard EN50530 to study the dynamic MPPT efficiency of each method. The pros and cons of each method are then summarized and relevant design suggestions are proposed.

Original languageEnglish
Pages (from-to)261-276
Number of pages16
JournalSolar Energy
Volume119
DOIs
StatePublished - 01 09 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Ltd.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Maximum power point tracking
  • Perturb and observe
  • Variable step-size

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