使用快速S转换和随机森林的T型电网连接逆变器的开放电路故障检测
Li You1, Zaixun Ling1, Yibo Cui1
1State Grid Hubei Electric Power Research Institute, Wuhan 430077, China.
Entropy (Basel, Switzerland)
|May 27, 2023
概括
本研究引入了一种使用快速S转换和随机森林的新实时方法,用于检测连接到电网的T型逆变器中的开放电路故障. 该技术在没有额外传感器的情况下达到100%的准确性,确保可靠的逆变器监控.
科学领域:
- 电气工程 电气工程
- 电力电子 电力电子 电力电子
- 错误诊断 错误诊断 错误诊断 是一个
背景情况:
- 连接到电网的T型逆变器对于可再生能源的整合至关重要.
- 开放电路故障会降低性能,并构成安全风险.
- 有效的故障检测对于可靠的逆变器运行至关重要.
研究的目的:
- 提出一种新的实时方法,用于检测连接到电网的T型逆变器中的开放电路故障.
- 为了在没有额外的传感器的情况下实现高精度和高效的故障检测.
主要方法:
- 使用三相断电流作为输入数据.
- 使用快速S转换来从断裂电流中提取特征.
- 应用随机森林算法用于故障识别,分类和开关定位.
主要成果:
- 实现了对开放电路故障的100%检测准确度.
- 证明了实时应用的低计算复杂性.
- 通过模拟和实验测试验证了该方法.
结论:
- 提出的方法是有效的实时,准确的开放电路故障检测在连接到电网的T型逆变器.
- 这种方法消除了对额外传感器的需求,简化了实施.
- 这种技术提高了逆变器监控系统的可靠性和安全性.
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