PMUVis : A Large Scale Platform to Assist Power System Operators in a Smart Grid
PMUVis : A Large Scale Platform to Assist Power System Operators in a Smart Grid
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PMUVis：协助智能电网中电力系统运营商的大型平台
DOI：
10.1109/mcg.2022.3171506
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发表时间：
2022
影响因子：
1.8
通讯作者：
Bryan, Christopher James
中科院分区：
文献类型：
--
作者：
Arunkumar, Anjana;Gupta, Nitin;Pinceti, Andrea;Sankar, Lalitha;Bryan, Christopher James
随着支持GPS的相量测量单元（PMU）的广泛部署，电力传输电网正在进行改造，以便通过精确、时间同步的电压和电流测量进行实时广域监测和控制。大量同时产生的噪声数据阻碍了PMU的可用性，特别是对于电网中的功率振荡和负载波动事件的分析。我们研究可视化的挑战，在电网中的事件和开发PMUVis，一个可视化平台，支持可扩展的分析电网网络拓扑结构和异常事件在不久的时间。PMUVis采用了一种新的基于FFT的方法，在原始和时间上聚合的数据，以检查振荡事件通过电网网络的传播。我们验证PMUVis与专家评论和案例研究，并讨论如何利用可视化来提高实时时空网格分析，通过推进运营商的能力。
Electric transmission power grids are being revamped with the widespread deployment of GPS-enabled phasor measurement units (PMUs) for real-time wide-area monitoring and control via precise, time-synchronized measurements of voltage and current. Large, concurrently produced volumes of noisy data hinder PMU usability, particularly for the analysis of power oscillation and load fluctuation events in the grid. We examine visualization challenges for events in the electric power grid and develop PMUVis, a visualization platform that supports scalable analysis of grid network topology and anomalous events in near time. PMUVis incorporates a novel FFT-based approach over raw and temporally aggregated data to examine oscillation event propagation through the grid network. We validate PMUVis with expert reviews and a case study and discuss how visualization can be leveraged to enhance real-time spatiotemporal grid analysis by advancing operator capabilities.