动态Lissajous模式用于实时识别和定位电源质量干扰
Pampa Sinha1, Snehalika Snehalika2, Ranjith Kumar Gatla3
1School of Electrical Engineering, KIIT, Bhubaneswar, 751024, India. pampa.sinhafel@kiit.ac.in.
Scientific reports
|September 5, 2025
概括
这项研究引入了一种新的快速方法,用于检测微电网中的电力质量干扰,使用来自电压和电流波形的独特视觉特征. 它可以准确地识别诸如曲和波等问题,
科学领域:
- 电气工程
- 电力系统分析
- 信号处理
背景情况:
- 电力质量 (PQ) 干扰会影响微电网的可靠性和效率.
- 现有的PQ干扰检测方法可能是计算密集的,缺乏实时适应性.
- 精确和高效的监控对于智能电网基础设施至关重要.
研究的目的:
- 开发一种计算效率高的实时方法,用于识别和定位微电网中的电力质量障碍.
- 将动态的Lissajous模式作为不同PQ事件的独特视觉特征.
- 在没有先前的微电网配置知识的情况下实现准确的干扰检测.
主要方法:
- 使用来自电压和电流波形的动态Lissajous模式.
- 从Lissajous图表中提取关键的几何和统计特征 (面积,斜率,曲率,中心偏差).
- 使用适应值来进行动态事件检测和分类.
主要成果:
- 在检测和区分各种PQ干扰 (,膨胀,波,瞬态) 方面取得了高精度.
- 在杂和重叠的干扰条件下表现出强大的性能,不同事件的独特欧几里德距离.
- 纯信号的验证零偏差,证实了分类的准确性.
结论:
- 动态Lissajous模式为PQ干扰分析提供了强大的,视觉直观的签名.
- 拟议的方法在计算上轻量级,适应电网不稳定性,并适合实时嵌入式部署.
- 这种方法显著提高了智能电网基础设施的PQ监控能力.
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