2020
DOI: 10.1016/j.epsr.2019.106033
|View full text |Cite
|
Sign up to set email alerts
|

Accurate detection method of voltage traveling-wave-based on waveform inversion

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 7 publications
0
1
0
Order By: Relevance
“…Basic Principle: based on the topology of the power grid system, select the appropriate node location to arrange the signal injection and signal acquisition equipment, respectively. By injecting signals (primarily low-frequency) into the system and processing the characteristic signals of faults through techniques such as filtering transformations [68,69], morphological filtering [70,71], wavelet transformations [72,73], S-transform [74], and Hilbert-Huang transform [75], it is possible to analyze and determine the location of the faulted circuit. The advantage of this method is its ability to overcome the influence of parameters, like system distributed capacitance, on detection and localization results.…”
Section: Active Signal Methodsmentioning
confidence: 99%
“…Basic Principle: based on the topology of the power grid system, select the appropriate node location to arrange the signal injection and signal acquisition equipment, respectively. By injecting signals (primarily low-frequency) into the system and processing the characteristic signals of faults through techniques such as filtering transformations [68,69], morphological filtering [70,71], wavelet transformations [72,73], S-transform [74], and Hilbert-Huang transform [75], it is possible to analyze and determine the location of the faulted circuit. The advantage of this method is its ability to overcome the influence of parameters, like system distributed capacitance, on detection and localization results.…”
Section: Active Signal Methodsmentioning
confidence: 99%