ハンケルノルム近似に基づく水力支配型電力系統の新規自動発電制御(AGC)
Sadaf Naqvi1, Ibraheem2, Gulshan Sharma3
1Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, 110025, India.
Scientific reports
|January 16, 2026
まとめ
モデル次数低減(MOR)は、自動発電制御(AGC)の複雑な電力系統モデルを単純化します。ハンケルノルム近似(HNA)法は、システムダイナミクスを維持し、計算負荷を軽減しながら、モデル次数を効果的に低減します。
科学分野:
- 電力系統工学
- 制御理論
- 計算数学
背景:
- 自動発電制御(AGC)解析には、計算負荷の高い微分方程式が含まれます。
- 時定数と遅延は、特に水力支配型電力系統におけるモデリングを複雑にします。
- モデル次数低減(MOR)は、高次システムの複雑性を管理するために不可欠です。
研究 の 目的:
- AGC用の縮小次数モデルを開発するためにハンケルノルム近似(HNA)法を適用すること。
- 11次の水力支配型電力系統モデルを7次、8次、9次の表現に低減すること。
- これらの縮小次数モデルの安定余裕と動的応答を評価すること。
主な方法:
- ハンケルノルム近似(HNA)法の適用。
- 11次のシステムを低次のモデル(7次、8次、9次)に低減すること。
- 安定余裕の評価と動的応答の比較のための固有値解析。
主要な成果:
- 縮小次数モデルは、本質的なシステムダイナミクスを効果的に維持しました。
- AGC解析における計算労力の著しい削減。
- 截断ベースの低減と比較して、HNAは有効性を示しました。
結論:
- MOR手法、特にHNAは、複雑なAGCモデルを単純化するのに効果的です。
- 縮小次数モデルは、水力支配型電力系統の解析に計算効率の良い代替手段を提供します。
- 提案されたHNA法は、AGCモデル低減のための従来の截断アプローチよりも利点を提供します。
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