Tracking Power Systems Events: PMU, Reporting Rate, Interpolation

G. Frigo, P. Pegoraro, S. Toscani
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引用次数: 3

Abstract

The increasing penetration of renewable energy sources make modern power systems more prone to fast dynamics and system contingencies. In this scenario, Phasor Measurement Units (PMUs) are required not only to provide a snapshot of the system state at a given reporting time instant, but also to track the time evolution. This capability does not depend uniquely on the accuracy of the synchrophasor estimation algorithm, but more generally on the configuration of the PMU itself and how data is employed. In this context, the paper investigates the potential advantages and the open issues of PMU-based dynamic tracking using real-world datasets, discussing how different algorithms and reporting rates affect the overall results.
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跟踪电力系统事件:PMU,报告率,插值
可再生能源的日益普及使现代电力系统更容易发生快速动态和系统突发事件。在这个场景中,相量测量单元(pmu)不仅需要在给定的报告时间瞬间提供系统状态的快照,还需要跟踪时间演变。这种能力不仅取决于同步相量估计算法的准确性,而且更普遍地取决于PMU本身的配置以及数据的使用方式。在此背景下,本文研究了使用现实世界数据集的基于pmu的动态跟踪的潜在优势和开放问题,讨论了不同的算法和报告率如何影响总体结果。
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Machine Learning Using a Simple Feature for Detecting Multiple Types of Events From PMU Data Using Synchrophasor Status Word as Data Quality Indicator: What to Expect in the Field? Centralised system for overfrequency real-time dynamic settings for generators Dynamic Performance Comparison and Prediction based on Distribution-level Phasor Measurement Units A Reconfigurable Synchrophasor Synchronization Gateway & Controller Architecture for DERs
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