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FLiER: Practical Topology Update Detection Using Sparse PMUs
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DOI：10.1109/TPWRS.2017.2662002.png)
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摘要
En 中文
In this paper, we present a Fingerprint Linear Estimation Routine to identify topology changes in power networks using readings from sparsely deployed phasor measurement units (PMUs). When a power line, load, or generator trips in a network, or when a substation is reconfigured, the event leaves a unique voltage fingerprint of bus voltage changes that we can identify using only the portion of the network directly observed by the PMUs. The naive brute-force approach to identify a failed line from such voltage fingerprints, though simple and accurate, is slow. We derive an approximate algorithm based on a local linearization and a novel filtering approach that is faster and only slightly less accurate. We present experimental results by using the IEEE 57-bus, IEEE 118-bus, and Polish 1999-2000 winter peak networks.
Keyword:
Approximation
filtering
linearization
phasor measurement units
topology changes
voltage fingerprint
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期刊
IF:
7.2
论文数:
1.1W
被引数:
5.0W
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