Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis

Aiming at the problems of high cost and low efficiency of manual calibration of low-voltage distribution network topology , a topology identification method of low-voltage distribution network based on GIS and voltage waveform correlation analysis is proposed. Firstly , according to the geograph...

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Main Authors: HUANGXubo, HUANGLei, AIDan, YANGQiu, YAOLinpeng
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2023-10-01
Series:Journal of Harbin University of Science and Technology
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Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2256
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author HUANGXubo
HUANGLei
AIDan
YANGQiu
YAOLinpeng
author_facet HUANGXubo
HUANGLei
AIDan
YANGQiu
YAOLinpeng
author_sort HUANGXubo
collection DOAJ
description Aiming at the problems of high cost and low efficiency of manual calibration of low-voltage distribution network topology , a topology identification method of low-voltage distribution network based on GIS and voltage waveform correlation analysis is proposed. Firstly , according to the geographic information of the distribution and user in the GIS platform , combined with the spatial constraints of the household variable relationship , the overlapping areas and non-overlapping areas are screened out , and the household variable relationship of the non-overlapping areas is preliminarily determined. Secondly , the voltage sequence correlation between the user in the overlapping area and the distribution in the adjacent station area is analyzed , and the three indicators of Euclidean distance , DDTW and Pearson correlation coefficient are used to evaluate the household change relationship in the overlapping area. Finally , the voltage correlation trend of the overlapping area is continuously monitored dynamically , and when the voltage correlation between the user and the station area changes drastically , the voltage correlation of the user and the adjacent station area is recalculated , the station area to which the user belongs is determined , and the alarm information is pushed to the operation and maintenance personnel for manual verification and confirmation. A numerical example shows the effectiveness and feasibility of the proposed method.
format Article
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institution Kabale University
issn 1007-2683
language zho
publishDate 2023-10-01
publisher Harbin University of Science and Technology Publications
record_format Article
series Journal of Harbin University of Science and Technology
spelling doaj-art-8a8a4d05425b4469afbbbcdb166cecae2025-08-20T03:27:29ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832023-10-012805425010.15938/j.jhust.2023.05.006Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation AnalysisHUANGXubo0HUANGLei1AIDan2YANGQiu3YAOLinpeng4TongrenPowerSupplyBureauofGuizhouPowerGrid,Tongren554300,ChinaTongrenPowerSupplyBureauofGuizhouPowerGrid,Tongren554300,ChinaTongrenPowerSupplyBureauofGuizhouPowerGrid,Tongren554300,ChinaTongrenPowerSupplyBureauofGuizhouPowerGrid,Tongren554300,ChinaDepartmentofElectricalEngineering,ShanghaiJiaoTongUniversity,Shanghai200240,China Aiming at the problems of high cost and low efficiency of manual calibration of low-voltage distribution network topology , a topology identification method of low-voltage distribution network based on GIS and voltage waveform correlation analysis is proposed. Firstly , according to the geographic information of the distribution and user in the GIS platform , combined with the spatial constraints of the household variable relationship , the overlapping areas and non-overlapping areas are screened out , and the household variable relationship of the non-overlapping areas is preliminarily determined. Secondly , the voltage sequence correlation between the user in the overlapping area and the distribution in the adjacent station area is analyzed , and the three indicators of Euclidean distance , DDTW and Pearson correlation coefficient are used to evaluate the household change relationship in the overlapping area. Finally , the voltage correlation trend of the overlapping area is continuously monitored dynamically , and when the voltage correlation between the user and the station area changes drastically , the voltage correlation of the user and the adjacent station area is recalculated , the station area to which the user belongs is determined , and the alarm information is pushed to the operation and maintenance personnel for manual verification and confirmation. A numerical example shows the effectiveness and feasibility of the proposed method.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2256lowvoltagetopologyidentificationgisvoltagecurvesimilarityeuclideandistancepearson
spellingShingle HUANGXubo
HUANGLei
AIDan
YANGQiu
YAOLinpeng
Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis
Journal of Harbin University of Science and Technology
lowvoltagetopologyidentification
gis
voltagecurvesimilarity
euclideandistance
pearson
title Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis
title_full Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis
title_fullStr Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis
title_full_unstemmed Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis
title_short Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis
title_sort topology identification method of low voltage distribution network based on gis and voltage waveform correlation analysis
topic lowvoltagetopologyidentification
gis
voltagecurvesimilarity
euclideandistance
pearson
url https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2256
work_keys_str_mv AT huangxubo topologyidentificationmethodoflowvoltagedistributionnetworkbasedongisandvoltagewaveformcorrelationanalysis
AT huanglei topologyidentificationmethodoflowvoltagedistributionnetworkbasedongisandvoltagewaveformcorrelationanalysis
AT aidan topologyidentificationmethodoflowvoltagedistributionnetworkbasedongisandvoltagewaveformcorrelationanalysis
AT yangqiu topologyidentificationmethodoflowvoltagedistributionnetworkbasedongisandvoltagewaveformcorrelationanalysis
AT yaolinpeng topologyidentificationmethodoflowvoltagedistributionnetworkbasedongisandvoltagewaveformcorrelationanalysis