DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure Model

The inaccuracy of the geoelectric structure model is the main reason for the low accuracy of the evaluation of the impact of the ground-return current (GRC) of ultra-high voltage direct current (UHVDC) on the AC power grid. Given insufficient raw data of soil resistivity, the Kriging method combined...

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Main Authors: Yuan Si, Zezhong Wang, Lianguang Liu, Junshuang Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8903249/
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spelling doaj-901cf85dc72641e290106a87920a8d672021-03-30T00:36:56ZengIEEEIEEE Access2169-35362019-01-01716633716635210.1109/ACCESS.2019.29539148903249DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure ModelYuan Si0https://orcid.org/0000-0003-2383-4131Zezhong Wang1https://orcid.org/0000-0002-7592-3040Lianguang Liu2https://orcid.org/0000-0002-4631-342XJunshuang Zhang3https://orcid.org/0000-0003-4577-0861School of Electrical Engineering, Beijing Key Laboratory of High Voltage and Electromagnetic Compatibility, North China Electric Power University, Beijing, ChinaSchool of Electrical Engineering, Beijing Key Laboratory of High Voltage and Electromagnetic Compatibility, North China Electric Power University, Beijing, ChinaSchool of Electrical Engineering, State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, ChinaState Grid East Inner Mongolia Power Company, Ltd., Inner Mongolia, ChinaThe inaccuracy of the geoelectric structure model is the main reason for the low accuracy of the evaluation of the impact of the ground-return current (GRC) of ultra-high voltage direct current (UHVDC) on the AC power grid. Given insufficient raw data of soil resistivity, the Kriging method combined with the original data of magnetotelluric sounding (MT) is proposed to predict the soil resistivity in the unknown area and form the Kriging soil electrical structure model. In view of the high cost and slow speed of large-scale earth surface potential (ESP) calculation, it is proposed to separate the small-scale resistivity mutation region in the Kriging soil electrical structure model from the large-scale model, and use the Dirichlet Neumann (DN) iterative algorithm to calculate the ESP in parallel for multiple sub-regions. Based on the measured data of the bias current of each substation around the Zhalute grounding electrode of ± 800 kV Zhalute-Qingzhou UHVDC transmission project, it is proved that the accuracy of using the data obtained by Kriging method to establish the soil electrical structure model.https://ieeexplore.ieee.org/document/8903249/Bias currentDirichlet-Neumann (DN) iterative algorithmgrounding electrodeKriging method
collection DOAJ
language English
format Article
sources DOAJ
author Yuan Si
Zezhong Wang
Lianguang Liu
Junshuang Zhang
spellingShingle Yuan Si
Zezhong Wang
Lianguang Liu
Junshuang Zhang
DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure Model
IEEE Access
Bias current
Dirichlet-Neumann (DN) iterative algorithm
grounding electrode
Kriging method
author_facet Yuan Si
Zezhong Wang
Lianguang Liu
Junshuang Zhang
author_sort Yuan Si
title DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure Model
title_short DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure Model
title_full DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure Model
title_fullStr DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure Model
title_full_unstemmed DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure Model
title_sort dc grounding electrode potential based on a kriging geoelectric structure model
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description The inaccuracy of the geoelectric structure model is the main reason for the low accuracy of the evaluation of the impact of the ground-return current (GRC) of ultra-high voltage direct current (UHVDC) on the AC power grid. Given insufficient raw data of soil resistivity, the Kriging method combined with the original data of magnetotelluric sounding (MT) is proposed to predict the soil resistivity in the unknown area and form the Kriging soil electrical structure model. In view of the high cost and slow speed of large-scale earth surface potential (ESP) calculation, it is proposed to separate the small-scale resistivity mutation region in the Kriging soil electrical structure model from the large-scale model, and use the Dirichlet Neumann (DN) iterative algorithm to calculate the ESP in parallel for multiple sub-regions. Based on the measured data of the bias current of each substation around the Zhalute grounding electrode of ± 800 kV Zhalute-Qingzhou UHVDC transmission project, it is proved that the accuracy of using the data obtained by Kriging method to establish the soil electrical structure model.
topic Bias current
Dirichlet-Neumann (DN) iterative algorithm
grounding electrode
Kriging method
url https://ieeexplore.ieee.org/document/8903249/
work_keys_str_mv AT yuansi dcgroundingelectrodepotentialbasedonakriginggeoelectricstructuremodel
AT zezhongwang dcgroundingelectrodepotentialbasedonakriginggeoelectricstructuremodel
AT lianguangliu dcgroundingelectrodepotentialbasedonakriginggeoelectricstructuremodel
AT junshuangzhang dcgroundingelectrodepotentialbasedonakriginggeoelectricstructuremodel
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