基于多个波段变换和最佳分数波段能量的直流系列弧线故障的诊断
Zhendong Yin1, Li Wang2, Xianqun Qiu1
1College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China.
The Review of scientific instruments
|January 10, 2024
概括
本研究提出了一种用于准确定位直流系统中连续弧故障 (SAF) 的新方法. 该技术达到99%以上的准确性和快速检测,确保系统的安全性和可靠性.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
背景情况:
- 在直流配电系统中,连续电弧故障 (SAF) 构成重大风险,导致干扰和诊断挑战.
- 准确及时识别SAF位置对于系统安全和运营完整性至关重要.
研究的目的:
- 开发一种强大而高效的方法,用于诊断直流配电系统中连续弧故障的位置.
- 与现有方法相比,提高SAF检测的准确性和速度.
主要方法:
- 利用多个波量变换来进行电流分解,并提取分数波量能量来构建特征向量.
- 采用随机森林,根据重要性分析进行最佳特征选择.
- 应用了一个内核极端学习机器,用于功能融合和诊断输出.
主要成果:
- 实现了99.82%的离线诊断准确率,超过了九种比较方法.
- 在110毫秒内证明在线SAF诊断,符合UL1699B要求.
- 成功避免了错误报警,并在短暂条件下保持稳定.
结论:
- 提出的SAF诊断方法是有效和先进的,提供高准确性和速度.
- 该方法满足直流系统的关键安全标准.
- 该方法即使在动态和短暂的运行状态下也提供可靠的性能.
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