発電電力に基づく太陽光発電システムのFF値推定手法

カテゴリ: 論文誌(論文単位)

グループ名: 【B】電力・エネルギー部門

発行日: 2023/12/01

タイトル(英語): A Study on Estimation Method of Fill Factor for PV Power Generation System from its Output Power

著者名: 有松　健司（東北電力（株）），関場　陽一（（株）電力計算センター），芳賀　仁（長岡技術科学大学）

著者名(英語): Kenji Arimatsu (Tohoku Electric Power Co., Inc.), Yoichi Sekiba (Denryoku Computing Center, Ltd.), Hitoshi Haga (Nagaoka University of Technology)

キーワード: 太陽電池モジュール，FF値，異常兆候検出　　photovoltaic module，fill factor，abnormal sign detection

要約(英語): There are increasing needs to detect abnormal signs of PV power generation system more efficiently. In terms of this issue, fill factor (FF) value of PV array/module is one of important index of its soundness. This paper proposes a novel method to estimate the fill factor of a photovoltaic module (PV module) from its output power. In the firstly step of the proposed method, we estimate the temperature and irradiance from the voltage and current of PV array/module given by MPPT (maximum power point tracking) control of power conditioning system. In the second step, we calculate the estimated FF value taking fraction of the MPP current and voltage by the short circuit current and open circuit voltage reduced by estimated temperature and irradiance. The advantage of proposed method is convenience that we only need MPP current and voltage data and PV array/module specification.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.143 No.12 （2023）

本誌掲載ページ: 623-631 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejpes/143/12/143_623/_article/-char/ja/