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一种基于实证波形变换和移动最小平方的高频振荡的快速参数估计方法.

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概括

本研究介绍了一种用于估计可再生能源电力系统中高频振荡 (HFO) 参数的快速方法. 新技术在一个周期内准确识别HFO,使得更快的响应来保护电网稳定性.

关键词:
经验波形变换 (EWT) 是一种波形变换.高频振荡 (HFO) 是一种高频振荡.移动租方块 (MLS) 是指移动的租方块.参数估计的参数估计.

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科学领域:

  • 电气工程 电气工程
  • 电力系统分析 分析 分析

背景情况:

  • 由于复杂的相互作用,可再生能源系统经常经历高频振荡 (HFO).
  • 这些HFO事件导致发电损失并威胁到电网稳定性,需要快速估计参数.

研究的目的:

  • 开发一种快速准确的方法来估计高频振荡 (HFO) 参数.
  • 为了使电力系统中HFO事件的早期预警和有效的缓解策略.

主要方法:

  • 提出了一种新的方法,用于信号分解,结合实证波形变换 (EWT) 和适配的移动最小平方 (MLS).
  • 在单个基本周期内,EWT将HFO信号分解为单个振荡模式.
  • MLS配件改进了振荡模式,允许从波形数据中估计HFO频率和大小.

主要成果:

  • 拟议的EWT-MLS方法在HFO参数估计方面表现出高精度,与1个基本周期窗口内的现有技术相比.
  • 实现了不到20毫秒的快速响应时间,表明了出色的实时功能.
  • 通过案例研究验证,展示其在可再生能源系统场景中的有效性.

结论:

  • 该EWT-MLS方法为HFO参数估计提供了高度准确和快速的解决方案.
  • 它的快速响应能力对于实时监测和控制可再生能源系统至关重要.
  • 这种方法显著提高了现代电网的稳定性和可靠性,以应对HFO挑战.