一种基于主要组件分析和核密度估计的超高压直流电路故障诊断方法
1School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
本研究引入了一种新的单端保护方法,用于使用主要组件分析 (PCA) 和核密度估计 (KDE) 的直流 (DC) 传输线路. 这种先进的技术提高了故障识别的准确性,即使在具有挑战性的远程和高阻力条件下.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 整合可再生能源的整合.
背景情况:
- 随着可再生能源的日益普及,不断扩大的直流 (DC) 传输网需要强有力的保护.
- 传统的保护方法在有限的故障数据和特征相关性方面扎,在远程或高阻力故障下失败.
研究的目的:
- 为直流输电线路开发一个创新的单端保护原则.
- 克服现有方法在检测远程和高阻力故障方面的局限性.
主要方法:
- 采用主要组件分析 (PCA) 来从故障数据中提取多维特征.
- 使用内核密度估计 (KDE) 来构建用于故障识别的联合概率密度函数.
- 整合了多维特征之间的内在相关性,用于全面的故障诊断.
主要成果:
- 拟议的PCA-KDE方法证明了对不同过渡电阻和故障距离的稳定性.
- 在不同的采样时间窗口 (0.5毫秒,1毫秒,2毫秒) 中实现故障识别100%的准确性.
- 显示对采样频率的不敏感性,提高了实际适用性.
结论:
- 新的单端保护原则有效地解决了传统直流传输线路保护的局限性.
- 集成PCA和KDE为现代电力系统中准确可靠的故障诊断提供了卓越的方法.
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