Analysis of the different maximum power point tracking strategies in a load-connected photovoltaic system

DOI 機関リポジトリ (HANDLE) オープンアクセス
  • Yuhan Zhao
    Interdisciplinary Graduate School of Engineering Science, Kyushu University
  • Farzaneh Hooman
    Interdisciplinary Graduate School of Engineering Science, Kyushu University

書誌事項

公開日
2022-10-20
資源種別
conference paper
DOI
  • 10.5109/5909054
公開者
九州大学大学院総合理工学府

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説明

For the past few years, solar energy has been widely applied in renewable energy systems. Maximum Power Point Tracking (MPPT) indicates one of the essential techniques for enhancing the efficiency of photovoltaic (PV) systems. Therefore, a high-efficiency method that can be accurate and fast-track the maximum power point (MPP) of PV is eagerly desired. In this paper, four different MPPT methods are compared in MATLAB/Simulink, which include two conventional methods: Perturbation and observation (P&O) and Incremental conductance (INC), one advanced intelligent method: Fuzzy logic (FLC), and one improved fuzzy logic-based variable step INC (FL-INC). The goal of this study is to find the more superior MPPT. According to the simulation result, FL-INC can enhance the output power by more than 6%, reducing the convergence time with fewer oscillations.

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詳細情報 詳細情報について

  • CRID
    1390857357571869824
  • DOI
    10.5109/5909054
  • HANDLE
    2324/5909054
  • ISSN
    24341436
  • 本文言語コード
    en
  • 資料種別
    conference paper
  • データソース種別
    • JaLC
    • IRDB
    • Crossref
    • OpenAIRE
  • 抄録ライセンスフラグ
    使用可

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