Physically Meaningful Grid Analytics on Voltage Measurements using Graph Spectra
Physically Meaningful Grid Analytics on Voltage Measurements using Graph Spectra
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DOI：
10.1109/isgt45199.2020.9087671
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发表时间：
2020-02
期刊：
影响因子：
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通讯作者：
M. Bariya;Keith Moffat;A. V. Meier
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文献类型：
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作者：
M. Bariya;Keith Moffat;A. V. Meier
电压幅值或相量的时间同步测量在电网中越来越普遍。电压测量统计信息是底层网络结构或拓扑的信息，使其对电网监控有用。然而，人们对这种联系知之甚少，许多提出的电压分析纯粹是启发式的。我们使用图论建立健全的理论连接之间的电压测量和底层网络的结构。我们的研究结果是重要的许多应用程序，从拓扑估计丢失的数据恢复。基于这个新的理论，我们讨论现有的分析，将它们从启发式转换为理论上合理的方法，并引入新的分析。我们澄清了所有假设，以表明分析何时可能失败或表现不佳。我们的工作使电压测量流能够通过简单的算法转换为物理上有意义的，直观的，可视化的，可操作的信息。
Time synchronized measurements of voltage magnitudes or phasors are increasingly common in electrical networks. Voltage measurement statistics are informative of the underlying network structure or topology making them useful for grid monitoring. However, this connection is poorly understood and many proposed voltage analytics are purely heuristic. We use graph theory to establish sound theoretical connections between voltage measurements and the structure of the underlying network. Our results are important for many applications, from topology estimation to missing data recovery. Based on this new theory, we discuss existing analytics, transforming them from heuristic to theoretically justified approaches, and introduce new analytics. We clarify all assumptions made, to indicate when analytics may fail or perform poorly. Our work enables voltage measurement streams to be transformed into physically meaningful, intuitive, visualizable, actionable information through simple algorithms.