Abstract For reliable operation of a power system, its situational awareness should be accurate. Similarly, for power system planning, correct post-mortem analysis of system events is required. A novel event assessment method based on the energy of system frequency and generator's rotational speed measurements has been proposed in this paper which can be used for both the real-time as well as off-line event assessment purposes. In this paper, event detection is carried out based on the magnitude of the second difference of the energy of machine's rotational speed/system frequency measurements. A detection threshold has been designed for this purpose. It successfully assesses multiple events occurring in small time interval. For event localization, a novel indicator named 'Sharpness Index' has been proposed in this paper. Performance of the proposed approach has been compared with a few existing methods and found to be more accurate and comprehensive. This proposed event assessment technique has been tested for various test cases simulated using PSS/E (Power System Simulator for Engineering) as well as real PMU (phasor measurement unit) measurements.

中文翻译：

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一种新的数据驱动方法，用于检测和定位导致违反预定义 ROCOF 限制的电力系统事件

摘要 电力系统的可靠运行需要准确的态势感知能力。同样，对于电力系统规划，需要对系统事件进行正确的事后分析。本文提出了一种基于系统频率能量和发电机转速测量的新型事件评估方法，该方法既可用于实时事件评估，也可用于离线事件评估。在本文中，事件检测是基于机器转速/系统频率测量能量的二次差值的大小进行的。为此设计了检测阈值。它成功地评估了在小时间间隔内发生的多个事件。对于事件定位，本文提出了一种名为“Sharpness Index”的新指标。已将所提出方法的性能与一些现有方法进行了比较，发现它更准确和全面。这种提议的事件评估技术已经针对使用 PSS/E（工程电力系统模拟器）以及实际 PMU（相量测量单元）测量模拟的各种测试案例进行了测试。