宽带多组分相位器的估计,考虑到信号缩
Dongfang Zhao1,2, Shisong Li1, Fuping Wang1
1Department of Electrical Engineering, Tsinghua University, Beijing 100084, China.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
本研究引入了一种用于准确监测电力系统信号的新方法,重点关注和互元件. 先进的算法通过精确估计信号特征来改善电源质量监测和系统稳定性.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 信号处理 信号处理
背景情况:
- 由于可再生能源和动力电子,电力系统中和声之间的含量增加会降低电力质量和系统稳定性.
- 精确监测信号特征,如频率,减噪因子,振幅和相位,对于减轻不良影响至关重要.
- 现有的方法难以应对多元组件信号的复杂性,特别是那些具有声的信号.
研究的目的:
- 开发一种强大而准确的方法来识别信号模式的数量.
- 为了估计信号组件的频率和声因子.
- 为了高精度地提取宽带多组件相子.
主要方法:
- 利用汉克尔矩阵的奇数值来开发一个简洁的索引来识别信号模式的数量.
- 采用简化的矩阵笔理论来估计信号组件的频率和声因子.
- 将估计集成到修改的最小平方算法中,用于准确的宽带多组件相位提取.
主要成果:
- 拟议的方法准确地识别了电力系统信号中的模式数量.
- 信号组件的频率和阻尼因子被精确估计.
- 该算法达到1.5%以下的最大总向量误差,优于现有的相位估计器.
结论:
- 开发的方法为监控复杂的电力系统信号提供了强大而准确的解决方案.
- 该算法的高准确性源于考虑模式数估计和信号减噪效应.
- 这种方法增强了电力质量监测,并有助于提高系统稳定性.
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