ガス絶縁開閉装置の高感度SF6ガススローリーク検出法のフィールド実証
ガス絶縁開閉装置の高感度SF6ガススローリーク検出法のフィールド実証
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: 2020/05/01
タイトル(英語): Study on Field Demonstration of High Sensitivity SF6 Leakage Detection Method for Gas Insulated Switchgear
著者名: 楯身 優((株)日立製作所 研究開発グループ),稲波 久雄((株)日立製作所 研究開発グループ),六戸 敏昭((株)日立製作所 研究開発グループ),廣瀬 誠((株)日立製作所 送変電生産本部)
著者名(英語): Masaru Tatemi (Research & Development Group, Hitachi, Ltd.), Hisao Inami (Research & Development Group, Hitachi, Ltd.), Toshiaki Rokunohe (Research & Development Group, Hitachi, Ltd.), Makoto Hirose (T&D Engineering and Production Division, Hitachi, Ltd.)
キーワード: ガス絶縁開閉装置,六フッ化硫黄,ガス圧力,スローリーク,診断 gas-insulated switchgear,sulfur hexafluoride,gas pressure,slow leakage,diagnosis
要約(英語): SF6 gas is widely used in power equipment such as gas insulated switchgear or gas circuit breaker. However, its global warming potential is 23,500 times higher than that of CO2. In consideration of environmental protection, detection of SF6 gas leakage with high sensitivity is necessary. The authors proposed an algorithm to accurately estimate the average gas temperature from the tank surface temperature for establishing a high sensitive SF6 slow leak detection technology. Since the gas temperature depends on the temperature of the conductor, the algorithm was characterized by estimating the gas temperature from the tank surface temperature and the load current. The relationship among the tank surface temperature, the gas temperature, and the current was preliminarily investigated by the use of the thermal fluid analysis and stored in the database. By use of this method, the fluctuation of the converted pressure in the basic examination test was suppressed to 20% as compared with that without considering the current. In addition, database was also created from the machine learning of field test result in substitution. In the field test, it was confirmed that the detection time of 0.5%/year slow leak could be detected in about 8 months by considering the load current.
本誌: 電気学会論文誌B(電力・エネルギー部門誌) Vol.140 No.5 (2020) 特集:電力需給解析標準モデル(IEEJ AGC30)を使ったシミュレーション技術
本誌掲載ページ: 409-414 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/140/5/140_409/_article/-char/ja/
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