传感器融合用于电力线路敏感监测和负载状态估计
Manuel Schimmack1, Květoslav Belda2, Paolo Mercorelli1
1Institute for Production Technology and Systems, Leuphana University of Lueneburg, Universitätsallee 1, D-21335 Lueneburg, Germany.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
本研究介绍了用于检测变压器系统故障的两个扩展卡尔曼过器 (EKF). 这些方法有效地识别短路,并使用初级测量来估计电压波,以提高电力系统的安全性.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 信号处理 信号处理
背景情况:
- 变压器系统在电网中至关重要,它们的可靠运行取决于有效的故障检测.
- 传统的故障检测方法可能需要大量的传感器安装,或者在识别特定故障类型时缺乏精度.
研究的目的:
- 为变压器系统开发和验证先进的故障检测技术.
- 使用扩展卡尔曼波器 (EKF) 进行软传感和故障识别,使用有限的初级测量.
主要方法:
- 设计了两个不同的EKF:一个用于估计二次绕线参数和检测短路,另一个用于对主电压的波分析.
- 基于相互电感的变压器模型被用于观察者设计.
- 进行了模拟,以评估拟议的EKF观察员的表现.
主要成果:
- 第一个EKF通过估计二次电压,电流和负载电阻,成功检测了二次绕线中的短路.
- 第二个EKF准确地估计了初级电压波的振幅和频率.
- 提出的方法证明了故障检测和软传感能力的效率.
结论:
- EKF观察器为变压器系统的故障检测提供了一个强大的数学框架.
- 这些方法对传感器融合非常有价值,集成各种数据以准确监控系统.
- 拟议的方法通过先进的故障诊断来提高电力系统的安全性和可靠性.
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