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  • 标题:Realworld maximum power point tracking simulation of PV system based on Fuzzy Logic control
  • 本地全文:下载
  • 作者:Ahmed M. Othman ; Mahdi M.M. El-arini ; Ahmed Ghitas
  • 期刊名称:NRIAG Journal of Astronomy and Geophysics
  • 印刷版ISSN:2090-9977
  • 电子版ISSN:2090-9985
  • 出版年度:2012
  • 卷号:1
  • 期号:2
  • 页码:186-194
  • DOI:10.1016/j.nrjag.2012.12.016
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn the recent years, the solar energy becomes one of the most important alternative sources of electric energy, so it is important to improve the efficiency and reliability of the photovoltaic (PV) systems. Maximum power point tracking (MPPT) plays an important role in photovoltaic power systems because it maximize the power output from a PV system for a given set of conditions, and therefore maximize their array efficiency. This paper presents a maximum power point tracker (MPPT) using Fuzzy Logic theory for a PV system. The work is focused on the well known Perturb and Observe (P&O) algorithm and is compared to a designed fuzzy logic controller (FLC). The simulation work dealing with MPPT controller; a DC/DC Ćuk converter feeding a load is achieved. The results showed that the proposed Fuzzy Logic MPPT in the PV system is valid.
  • 关键词:KeywordsSolar energyPhotovoltaic systemFuzzy logic controlMaximum power point tracking (MPPT)
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