2018
DOI: 10.1049/joe.2018.0232
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Performance evaluation of the travelling wave‐based differential protection when applied on Hybrid Transmission Lines

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Cited by 3 publications
(2 citation statements)
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References 6 publications
(16 reference statements)
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“…This approach is based on the distinction between whether the time-domain differential is a first-order derivative The voltage and differential current satisfy the capacitance model [21], but the first derivative is significantly affected by higher harmonics, requiring improved performance. A traveling-wave-based pilot protection was put forward by the authors in [22,23], although it is more sensitive to transients and requires a higher sampling frequency. In addition, the similarity index between the transient currents at both ends was calculated using Pearson correlation coefficient and cosine similarity, but it will not work when the IIREGs produce low power due to insufficient light or wind or the current breaker is re-closed with permanent failure.…”
Section: IImentioning
confidence: 99%
“…This approach is based on the distinction between whether the time-domain differential is a first-order derivative The voltage and differential current satisfy the capacitance model [21], but the first derivative is significantly affected by higher harmonics, requiring improved performance. A traveling-wave-based pilot protection was put forward by the authors in [22,23], although it is more sensitive to transients and requires a higher sampling frequency. In addition, the similarity index between the transient currents at both ends was calculated using Pearson correlation coefficient and cosine similarity, but it will not work when the IIREGs produce low power due to insufficient light or wind or the current breaker is re-closed with permanent failure.…”
Section: IImentioning
confidence: 99%
“…The algorithm can detect, classify, and locate faults with satisfying results [29]. The combined methodology of DWT and traveling waves has also been used to improve the accuracy of the fault detection and analysis algorithm [30,31].…”
Section: Literature Reviewmentioning
confidence: 99%