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2020
DOI: 10.1016/j.epsr.2020.106402
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Travelling wave fault location principle for hybrid multi-terminal LCC-MMC-HVDC transmission lines based on C-EVT

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Cited by 14 publications
(3 citation statements)
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“…To do this, a double-layer artificial neural network with 20 neurons in the first hidden layer and 4 neurons in the second hidden layer is adopted. Finally, according to Equation (10), the output of ANN will determine the exact location of the faulty point with an average percentage error of about 0.0045%, which is a distance of 22.5 meter from defective spot. The flowchart of the main steps of the evaluated fault location method is shown in Figure 8.…”
Section: The Proposed Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To do this, a double-layer artificial neural network with 20 neurons in the first hidden layer and 4 neurons in the second hidden layer is adopted. Finally, according to Equation (10), the output of ANN will determine the exact location of the faulty point with an average percentage error of about 0.0045%, which is a distance of 22.5 meter from defective spot. The flowchart of the main steps of the evaluated fault location method is shown in Figure 8.…”
Section: The Proposed Methodsmentioning
confidence: 99%
“…Wang and Hou [9] presented a TW fault location strategy for hybrid LCC-MMC-HVDC transmission systems based on the Hilbert-Huang transform. Wang et al [10] suggested a TW fault location method for LCC-MMC-HVDC hybrid DC transmission lines established on a capacitance-divided electronic voltage transformer (C-EVT), in which by analyzing the TW transmission characteristic of C-EVT, an algorithm is proposed based on the secondary differential voltage traveling wave (D-VTW). Wang et al [11] presented a fault localization approach suited for hybrid HVDC systems in which the fault location is obtained based on the functional association between the fault distance and the inverter side DC bus equivalent characteristic impedance.…”
Section: Introductionmentioning
confidence: 99%
“…VMD is a frequency domain based adaptive completely non recursive signal processing method [6] . It directly specifies the number of decompositions and adaptively matches them based on the center frequency and bandwidth in the solution.…”
Section: Vmdmentioning
confidence: 99%