Fault detection in MTDC network utilising one end measurements

Sahu, Upma; Yadav, Anamika

doi:10.1109/icps48983.2019.9067612

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2023

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Cited by 2 publications

(2 citation statements)

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“…This FIS-based method senses a fault and identifies a defective segment within a short time, which clarifies the supremacy of the FIS-based method over other methods. In [25] , a fault detection based on FIS in MT-HVDC system is proposed, but more consideration and fault classification tasks are not reported. In [32] , a fault identification scheme in HVDC line based on the convolutional neural network (CNN), fast Fourier transform (FFT), and gramian angular field (GAF) is proposed.…”

Section: Introductionmentioning

confidence: 99%

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A protection method for multi-terminal HVDC system based on fuzzy approach

2023

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Section: Introductionmentioning

confidence: 99%

“…This method is the extension of method proposed in [25] that extends the applicability of the FIS-based method to detect and classify all types of faults and identify the faulty pole in a MT-HVDC system considering different challenging cases. The MT-HVDC system is built by linking three VSCs to the network's various DC terminals.…”

Section: Introductionmentioning

confidence: 99%