基于多尺度移动波反应功率和随机森林的T连接输电线路故障识别的新方法
Yawen Zhong1, Jie Yang2, Sheng Wang3
1School of Engineering, Southwest Petroleum University, Nanchong, Sichuan, China.
PloS one
|August 18, 2023
概括
这项研究引入了一种用于T连接输电线路故障诊断的新方法. 它使用多级移动波反应功率和随机森林准确识别特定的故障分支,提高可靠性.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 错误诊断 错误诊断 错误诊断 是一个
背景情况:
- 对T连接输电线路的传统故障诊断方法可以区分内部和外部故障,但无法确定特定的分支.
- 这种局限性需要更精确的方法来准确地定位复杂的输电线路配置中的故障.
研究的目的:
- 开发和验证一种新的方法,用于识别T连接输电线路中的特定故障分支.
- 提高这些系统中故障诊断的准确性和可靠性.
主要方法:
- 利用S变换来分析多尺度移动波的反应功率.
- 每个保护单元的多个频率的移动波反应功率的计算平均和总比.
- 开发了一种随机森林模型,在一个故障特征样本上训练,用于分支识别.
主要成果:
- 拟议的算法准确且快速地识别T连接输电线路内的特定故障分支.
- 在各种工作条件中证明有效,包括CT和,噪音和数据丢失的场景.
- 成功区分了保护区内外的断层.
结论:
- 拟议的方法显著提高了T连接输电线路故障诊断的准确性和可靠性.
- 它提供了一个强大的解决方案,用于识别特定的故障分支,即使在具有挑战性的电力系统条件下.
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