使用HFCT传感器和AI诊断工具在HV变电站中找到绝缘缺陷
Javier Ortego1,2, Fernando Garnacho2,3, Fernando Álvarez2
1Ampacimon, 28045 Madrid, Spain.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
这项研究引入了高压变电站的新诊断程序. 它使用多个高频电流变压器传感器来准确地定位特定绝缘子系统内的关键部分放电源,提高诊断准确度.
科学领域:
- 电气工程 电气工程
- 材料科学 材料科学 材料科学
- 电力系统 电力系统
背景情况:
- 高压 (HV) 变电站包括相互连接的绝缘子系统 (AIS,GIS,液体,固体) 与共享接地.
- 部分放电 (PD) 脉冲穿过这些接地结构,使源的定位变得复杂.
- 区分临界PD与非临界来源对于准确的绝缘诊断至关重要.
研究的目的:
- 开发一种有效的诊断程序,用于确定特定的高温变电站绝缘子系统中的关键PD源.
- 为了应对在子系统边界附近定位PD的挑战.
- 在复杂的高温环境中提高绝缘状况评估的可靠性.
主要方法:
- 使用装有多个高频电流变压器 (HFCT) 传感器的PD分析仪.
- 使用实验室测试,短暂信号建模和专门的验证测试台.
- 开发和应用一种基于信号传播方向分析的新型PD诊断程序.
主要成果:
- 拟议的程序成功地区分了关键和非关键的PD源.
- 在特定的绝缘子系统内实现了关键PD源的准确定位.
- 验证测试证实了该程序的有效性,即使是靠近子系统边界的PD.
结论:
- 开发的诊断程序为HV变电站绝缘状况诊断提供了一种有效的方法.
- 准确的PD源定位对于防止灾难性故障至关重要.
- 多HFCT传感器方法为改善诊断提供了对PD行驶方向的宝贵见解.
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