非侵襲的な測定による電力トランスフォーマー状態の監視と故障診断
Mohammed Youssef1,2, El-Said Abdelaziz2, Hassan S Mohamed3
1Electrical Power and Machines Department, Higher Institute of Engineering, El Shorouk Academy, Cairo, Egypt.
Scientific reports
|September 1, 2025
まとめ
この研究では,電源トランスフォーマーにおける内部ショート回路の故障を検出し,位置づけるために,ΔV-Iin位置図を用いた新しいオンライン方法が提示されています. 電源システムの信頼性を向上させる.
科学分野:
- 電気工学
- 電力システムの分析
- トランスフォーマー状態モニタリング
背景:
- 電力トランスフォーマー内の内部故障は ネットワークの安定性と信頼性を脅かします
- 断続的な故障を防止し,トランスフォーマー寿命を延長するために,故障の迅速な検出と局所化は不可欠です.
- 既存の方法は,追加のハードウェアを必要とし,故障の種類を区別する精度が不足している可能性があります.
研究 の 目的:
- 電力トランスフォーマーにおける内部短路の故障を識別し,分類し,局所化する革新的なオンライン方法を開発する.
- ターンツーターン,シリーズショート回路,シャントショート回路の3つの特定の回転故障タイプに焦点を当てます.
- 費用対効果の高いモニタリングのために,既存の測定装置で ΔV-Iin 位置図を使用します.
主な方法:
- MATLABでインソレーションの故障をシミュレートするための包括的な巻き物モデルを開発しました.
- オンラインの故障検出と特徴抽出のために ΔV-Iin 位置図を使用した.
- トランスフォーマー性能に対する故障とハーモニー歪みの影響を分析した.
- 50Hzで3MVA,5MVA,7MVAのトランスフォーマーモデルでこの方法を検証した.
主要な成果:
- 提案された識別子は,3MVAのトランスフォーマーで98.51%の精度で3種類の断熱障害を正確に検出しました.
- 欠陥局所化アルゴリズムは,約93.28%の精度を達成しました.
- この方法は,ハーモニックの歪みに対する強度を示した.
結論:
- 提案された ΔV-Iin 位置図法は,電力トランスフォーマー状態を評価するための堅牢で信頼できるツールです.
- このオンライン検出スキームは,追加のハードウェアなしで内部ショート回路の故障を効果的に差別し,分類し,ローカライズします.
- 発見は,トランスフォーマー故障管理の強化によって,電力システムの信頼性の向上を支持します.
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