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      KCI등재 SCIE SCOPUS

      Faulted Section Identification and Fault Location in Power Network Based on Histogram Analysis of Three-phase Current and Voltage Modulated

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      https://www.riss.kr/link?id=A108255604

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      다국어 초록 (Multilingual Abstract)

      In the discussion of fault location due to the existence of multiple branches in the distribution network, diff erent locations are obtained and this shows the importance of detecting the faulted section in the distribution network . In this paper, th...

      In the discussion of fault location due to the existence of multiple branches in the distribution network, diff erent locations are obtained and this shows the importance of detecting the faulted section in the distribution network . In this paper, the new idea of modulating the current and three-phase voltage of the line’s beginning and histogram analysis has been used for fault location in the power network. First, threephases of current and voltage of the line’s beginning are converted separately through convolution into a modulated current signal and a voltage signal, respectively. Then by dividing the density ratio of the modulated voltage by the modulated current, the distance to fault location can be estimated; but there is the possibility of obtaining several fault locations in the distribution network. In the following, the faulted section can be estimated through a histogram analysis of the modulated voltage. Simulation results show that by modulating the three-phase voltage, there is a possibility to eliminate the eff ects of fault resistance, fault occurrence angle, fault type on the algorithm’s accuracy. In the end, the suggested algorithm was implemented on a 735 kV transmission network and an IEEE-15bus distribution network whose results demonstrate the appropriate accuracy of the suggested algorithm.

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      참고문헌 (Reference)

      1 Wang M, "fault location without wave velocity influence using wavelet and Clark transform" Springer 321-326, 2018

      2 Lopes FV, "Traveling wave-based fault location on half-wavelength transmission line" 14 : 248-, 2016

      3 Sarkar A, "RBF neural network-based wavelet packet energy-aided fault localization on a hybrid transmission line" Springer 807-815, 2018

      4 Samantaray SR, "High impedance fault detection in power distribution networks using timefrequency transform and probabilistic neural network" 2 (2): 261-270, 2008

      5 Dashti R, "Fault section estimation in power distribution network using impedance-based fault distance calculation and frequency spectrum analysis" 8 (8): 1406-1417, 2014

      6 Magnago FH, "Fault location using wavelet" 13 (13): 1475-1480, 1998

      7 Dashtdar M, "Fault location in the transmission network using artificial neural network" 54 (54): 39-51, 2020

      8 Dashtdar M, "Fault location in the transmission network based on zero-sequence current analysis using discrete wavelet transform and artificial neural network" 3 : 30-, 2019

      9 Dashtdar M, "Fault location in the transmission network based on extraction of fault components using wavelet transform" 19 (19): 1-9, 2019

      10 Dashtdar M, "Fault location in the distribution network based on scattered measurement in the network" 11 : 1-24, 2021

      1 Wang M, "fault location without wave velocity influence using wavelet and Clark transform" Springer 321-326, 2018

      2 Lopes FV, "Traveling wave-based fault location on half-wavelength transmission line" 14 : 248-, 2016

      3 Sarkar A, "RBF neural network-based wavelet packet energy-aided fault localization on a hybrid transmission line" Springer 807-815, 2018

      4 Samantaray SR, "High impedance fault detection in power distribution networks using timefrequency transform and probabilistic neural network" 2 (2): 261-270, 2008

      5 Dashti R, "Fault section estimation in power distribution network using impedance-based fault distance calculation and frequency spectrum analysis" 8 (8): 1406-1417, 2014

      6 Magnago FH, "Fault location using wavelet" 13 (13): 1475-1480, 1998

      7 Dashtdar M, "Fault location in the transmission network using artificial neural network" 54 (54): 39-51, 2020

      8 Dashtdar M, "Fault location in the transmission network based on zero-sequence current analysis using discrete wavelet transform and artificial neural network" 3 : 30-, 2019

      9 Dashtdar M, "Fault location in the transmission network based on extraction of fault components using wavelet transform" 19 (19): 1-9, 2019

      10 Dashtdar M, "Fault location in the distribution network based on scattered measurement in the network" 11 : 1-24, 2021

      11 Masoud Dashtdar, "Fault location in the distribution network based on power system status estimation with smart meters data" Walter de Gruyter GmbH 22 (22): 129-147, 2021

      12 Dashtdar M, "Fault location in radial distribution network based on fault current profile and the artificial neural network" 20 (20): 14-21, 2020

      13 Hosseinimoghadam SMS, "Fault location in distribution networks with the presence of distributed generation units based on the impedance matrix" 102 : 1-10, 2020

      14 Dashtdar M, "Fault location in distribution network based on phasor measurement units(PMU)" 19 (19): 38-43, 2019

      15 Dashtdar M, "Fault location in distribution network based on fault current profile and the artificial neural network" 2 (2): 30-41, 2020

      16 Dashtdar M, "Fault location in distribution network based on fault current analysis using artificial neural network" 1 (1): 18-32, 2018

      17 He Z, "Fault detection and classification in EHV transmission line based on wavelet singular entropy" 25 (25): 2156-2163, 2010

      18 Majid Dashtdar, "Fault Location in the Transmission Network Using a Discrete Wavelet Transform" Science Publishing Group 3 (3): 30-37, 2019

      19 Ekici S, "Energy and entropy-based feature extraction for locating the fault on transmission lines by using neural network and wavelet packet decomposition" 34 : 2937-2944, 2008

      20 D Masoud, "Distribution network fault section identification and fault location using an artificial neural network" IEEE 2018

      21 Dashtdar M, "Detecting the fault section in the distribution network with distributed generators based on optimal placement of smart meters" 19 (19): 28-34, 2019

      22 Chen YQ, "Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction" 65 : 561-569, 2018

      23 Saini M, "Algorithm for fault location and classification on parallel transmission line using wavelet based on Clarke’s transformation" 8 : 699-710, 2018

      24 Rao A, "Accurate Fault Location Technique on Power Transmission Lines with use of Phasor Measurements" 4 (4): 2015

      25 Kapoor G, "A fault-location evaluation method of a 330 kv three-phase transmission line by using discrete wavelet transform" 1 (1): 5-10, 2018

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      학술지등록 한글명 : Journal of Electrical Engineering & Technology(JEET)
      외국어명 : Journal of Electrical Engineering & Technology
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 학술지 통합 (기타) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.45 0.21 0.39
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.37 0.34 0.372 0.04
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