Real-time transmission line outage detection is difficult because of partial phasor measurement unit (PMU) deployment and varying outage signal strength. Existing detection approaches focus on monitoring PMU-measured nodal algebraic states, i.e., voltage phase angle and magnitude. The success of such approaches, however, is largely predicated on strong outage signals and the presence of PMUs in the outage location's vicinity. To overcome these limitations, a unified framework is proposed in this work by utilizing both nodal voltage information and generator dynamic states, e.g., rotor angular position. The proposed scheme is shown to be faster and more robust to unknown outage locations through the incorporation of generator dynamics. Using the IEEE 39-bus system simulation data, the proposed scheme's properties and performances compared to existing approaches are presented. The new approach could help improve operators' real-time situational awareness by detecting outages faster and providing a breakdown of outage signals for diagnostic purposes, making future power systems more resilient.
翻译:现有探测方法侧重于监测PMU测量的节点代数状态,即电流阶段角度和规模;但是,这些方法的成功主要取决于强烈的流出信号和在流出地点附近存在多功能传输线断流线。为了克服这些限制,在这项工作中提出了一个统一框架,利用节流电效应信息和发电机动态状态,例如旋转角位置。通过整合发电机动态,显示拟议办法更快、更强有力地对未知的断流地点进行监测。使用IEEE 39-Bus模拟系统数据,介绍了拟议办法的特性和绩效,与现有办法相比,这些特性和性能。新的方法可以帮助提高操作者实时了解情况的能力,方法是更快地探测断电源,为诊断目的提供断电信号的分解,使未来的电力系统更具复原力。