発電領域を用いた頻度差分布指標に基づく太陽光発電システムの異常兆候検出の一手法

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: 2023/06/01

タイトル(英語): Study on Abnormality Sign Detection Method of Photovoltaic Power Generation System using Frequency Difference Distribution Index in Power Generation Region

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，異常兆候検出，評価窓，発電特性　　photovoltaic module，abnormal sign detection，designated area for evaluation，power generation characteristics

要約(英語): This paper proposes a new method for detecting electrical abnormal signs of photovoltaic module only by measuring the voltage value and current value, which are the power generation output values on the DC side in a photovoltaic power generation system. The proposed method is an abnormal sign detection method for photovoltaic power generation systems that uses the frequency difference distribution index of power generation output in the power generation region for evaluation. This paper first outlines the proposed power generation region as an evaluation window in the anomaly detection method. Next, as an example of an anomaly sign detection method using the proposed power generation region, we show the effectiveness of a quantitative evaluation using a frequency difference distribution index focusing on the occurrence of measured values in the power generation region. Finally, the validity and effectiveness of the proposed method is demonstrated using measured data from actual mega solar data.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.143 No.6 （2023） 特集：配電用変電所保護リレーシステムをはじめとした保護リレーシステム技術

本誌掲載ページ: 402-410 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/143/6/143_402/_article/-char/ja/