Abstract

DC Grounding Electrode Potential Based on a Kriging Geoelectric Structure Model

Highlights

  • Ultra-high voltage direct current (UHVDC) was first built in China, with the maximum rated working current of 6250 A [1]

  • The distribution of earth surface potential (ESP) can be calculated and the distribution of DC biasing current (DCBC) in the substation around the grounding electrode can be predicted by selecting the equivalent AC network and horizontal multi-layer model near the electrode site, it does not explain that some transformers far from the grounding electrode are more seriously affected by DC bias than those around the grounding electrode

  • We look for the magnetotelluric sounding (MT) section color map measured in the range of 400km × 400km × 300km in the near area of the grounding electrode, use the grid to split the MT section color map to extract the original data of the earth resistivity of the nodes, and use Kriging method to predict the resistivity data of the unknown nodes between the MT sections, so we get a large number of scattered point resistivity data in the range of 400km × 400km × 300km using image segmentation technology, scatter points with small resistivity differences are surrounded by the same block to form the Kriging geoelectric structure model with different sizes and shape blocks

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Summary

INTRODUCTION

Ultra-high voltage direct current (UHVDC) was first built in China, with the maximum rated working current of 6250 A [1]. The distribution of ESP can be calculated and the distribution of DCBC in the substation around the grounding electrode can be predicted by selecting the equivalent AC network and horizontal multi-layer model near the electrode site, it does not explain that some transformers far from the grounding electrode are more seriously affected by DC bias than those around the grounding electrode [19] Reference [17], [18] divides the large-scale complex electrical structure into several horizontal multi-layer models and solves the electric field distribution by the superposition method This method does not consider the influence of the possible conductivity abrupt region on the ground electric field. The DCBC calculated by these two models is compared with the measured value in the project to check which geoelectric structure model has higher accuracy

NUMERICAL METHODS
CALGORITHMIC VERIFICATION OF DN ITERATIVE ALGORITHM
GEODETIC RESISTIVITY STATISTICAL CHARACTERISTICS
Findings
CONCLUSION
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