Limited phasor measurement unit (PMU) and varying signal strength levels make fast real-time transmission-line outage detection challenging. Existing approaches focus on monitoring nodal algebraic variables, i.e., voltage phase angle and magnitude. Their effectiveness is predicated on both strong outage signals in voltage and PMUs in the outage location's vicinity. We propose a unified detection framework that utilizes both generator dynamic states and nodal voltage information. The inclusion of generator dynamics makes detection faster and more robust to a priori unknown outage locations, which we demonstrate using the IEEE 39-bus test system. In particular, the scheme achieves an over 80% detection rate for 80% of the lines, and most outages are detected within 0.2 seconds. The new approach could be implemented to improve system operators' real-time situational awareness by detecting outages faster and providing a breakdown of outage signals for diagnostic purposes, making power systems more resilient.

翻译：现有方法侧重于监测节流代数变量,即电相角和电量,其效力取决于电压和电流地点附近PMU的强力断电信号;我们提议一个利用发电机动力状态和节流伏信息的统一探测框架;纳入发电机动态使探测速度更快、更稳健地进入先天未知的断电地点,我们用IEEE 39-Bus测试系统证明了这一点;特别是,该计划使80%的电线的探测率达到80%以上,大多数断电在0.2秒内得到检测;可以实施新的方法,通过更快地探测断电和为诊断目的对断电信号进行分解,提高系统操作者的实时情况认识。