A Multi-index Comprehensive Analysis Method for Waveform Consistency of Single-phase Ground Fault of Power Source Output

A multi-index comprehensive analysis method is proposed for the consistency of the output signal and the input signal of the power source about single-phase ground fault. Compared with the traditional single-index waveform similarity comparison method, this method combines the time-domain characteristics of the steady-state waveform, the time-domain ,frequency-domain and time-frequency domain characteristics of the transient state.The consistency of power source grounding fault waveform is comprehensively evaluated. On the basis of investigation and analysis of the field identification method of short-circuit and grounding faults in distribution network, the key characteristic parameters including the voltage amplitude changes of steady-state signals , harmonic distortion rate and amplitude of transient zero-sequence voltage, or the other characteristic parameters that cover the essential characteristics of transient signal waveform.All the parameters are divided into their importance grades. At the same time, the weight rank of each parameter is determined by the combination of the analytic hierarchy process (AHP) and the correlation coefficient method. Finally, the waveforms of field grounding fault from the power grid and a power source are extracted, and a comprehensive evaluation model of transient signal output consistency is established.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991673
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multi-index Comprehensive Analysis Method for Waveform Consistency of Single-phase Ground Fault of Power Source Output

Xinwei Wei, Xinyu Guo, Wenping Qin, Wanyu Tao
Power Systems and Technologies
article

A Multi-index Comprehensive Analysis Method for Waveform Consistency of Single-phase Ground Fault of Power Source Output

Xinwei Wei, Xinyu Guo, Wenping Qin, Wanyu Tao
article en

Abstract

A multi-index comprehensive analysis method is proposed for the consistency of the output signal and the input signal of the power source about single-phase ground fault. Compared with the traditional single-index waveform similarity comparison method, this method combines the time-domain characteristics of the steady-state waveform, the time-domain ,frequency-domain and time-frequency domain characteristics of the transient state.The consistency of power source grounding fault waveform is comprehensively evaluated. On the basis of investigation and analysis of the field identification method of short-circuit and grounding faults in distribution network, the key characteristic parameters including the voltage amplitude changes of steady-state signals , harmonic distortion rate and amplitude of transient zero-sequence voltage, or the other characteristic parameters that cover the essential characteristics of transient signal waveform.All the parameters are divided into their importance grades. At the same time, the weight rank of each parameter is determined by the combination of the analytic hierarchy process (AHP) and the correlation coefficient method. Finally, the waveforms of field grounding fault from the power grid and a power source are extracted, and a comprehensive evaluation model of transient signal output consistency is established.

Taiyuan University of Technology (CN)
Climate action
Openalex Percentile: Top 72%
Power Systems and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.