Behaviour of grounding systems in multilayer soils: a parametric analysis

Dawalibi, F.P.; Ma, Jianjun; Southey, Robert

doi:10.1109/61.277704

Cited by 99 publications

(45 citation statements)

References 8 publications

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“…Ref. [1] provided information about grounding grid performance in different soil structures after an extensive parametric study. A method for calculating the grounding grid resistance was presented in [2] based on the theoretical manipulations of the numerical moment method and the current image.…”

Section: Introductionmentioning

confidence: 99%

Soil resistivity and ground resistance for dry and wet soil

Salam

Rahman

Ang

et al. 2015

J. Mod. Power Syst. Clean Energy

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In this paper, soil resistivity and ground resistance at two different sites near an electrical substation are measured using a grounding system grid with and without rods. With the Wenner four-pole equal-method, the soil resistivity is measured at both selected sites, one of which contains wet soil while the other contains dry soil. Cymgrd simulation software is then used to determine the acceptability of these measured resistivity values by finding out the root mean square error between the measured and calculated values for both wet and dry soil sites. These values for wet and dry soil sties were found to be only 0 % and 4.92 %, respectively, and deemed acceptable. The measured soil resistivity values were then used to evaluate the ground resistance values of a grounding grid 'with rod' for the wet soil site and 'without rods' for the dry soil site, and then compared with the simulated ground resistance values. These comparisons were also found to be in good agreement. In addition, ground potential rise, maximum permissible step and touch potentials have also been estimated using the simulation software.

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Section: Introductionmentioning

confidence: 99%

Soil resistivity and ground resistance for dry and wet soil

Salam

Rahman

Ang

et al. 2015

J. Mod. Power Syst. Clean Energy

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show abstract

“…The design of grounding systems can be a complex task, since there are many variables, such as geometrical proportions of the grounding system, soil structure model, and ground conductor arrangement that can affect the behavior of the grounding system. Several articles [3][4][5] have studied the influence of those variables on the grounding system performance. The last part of this paper expands on this subject by focusing essentially on the current density distribution in the earth for different types of soil structures.…”

Section: Grounding System Performancementioning

confidence: 99%

“…A good understanding and accurate computation of the current distribution along the bare ground conductors and its dissipation in the surrounding earth are critical to predict the performance of a grounding system. Many studies on soil resistivity measurements and grounding system designs have already been carried out and reported in several papers [1][2][3][4][5][6][7]. A number of interesting papers involving similar topics and their applications have been also published in recent years [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Current Density in Soil for Resistivity Measurements and Electrical Grounding Designs

Liu¹,

Dawalibi²

2017

JEEE

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Abstract:The design of electrical grounding systems is crucial to ensure people's safety and equipment integrity. The performance of the grounding system is critically dependent on the characteristics of the local soil surrounding the grounding system. Some wrong concepts and assumptions on soil electrical properties are still prevalent among professionals regarding soil resistivity measurements and grounding designs. The objective of this paper is to examine the current density in the earth surrounding measurement electrodes and electrical grounding systems and discuss the effects of soil structures on measurements and grounding related studies. The analyses described here are based on electromagnetic field theory. First, this paper examines soil resistivity measurements using the Wenner method in three typical, but different soil structure models, by exploring the distribution of earth current density in the soil surrounding the current injection electrodes. The computed results are illustrated using appropriate plots to understand better the influence of soil structure and characteristics on the current penetration across the soil layers. Furthermore, a detailed study on the influence of nearby buried grounding systems on soil resistivity measurements was also carried out. Finally, the performance of grounding systems in the three soil structure models has been studied in order to gain an intuitive understanding of the effects of soil structures on grounding. The results clarify and invalidate some misleading arguments used by a few practicians. All computed results are summarized in appropriate tables and figures which should provide helpful visual clues and useful information when planning soil resistivity measurements and designing electrical grounding systems.

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“…But the grounding conductor is buried in the soil all the year round, so it is very expensive and difficult to operate when the corrosion condition is checked [1][2][3]. Based on this, this paper first proposes the grounding grid corrosion image as the research object, and uses convolutional neural network as the research algorithm to classify the corrosion degree of the grounding grid.…”

Section: Introductionmentioning

confidence: 99%

Research on grounding grid corrosion classification method based on convolutional neural network

Li-qian

Wang

et al. 2018

MATEC Web Conf.

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Abstract. Aiming at the problem that the traditional detection methods can not accurately classify the corrosion degree of grounding grids. The corrosion image is taken as the research object , the convolution neural network is used as the algorithm firstly to classify the corrosion degree. Firstly, the corrosion simulation experiment was carried out, and the sample library was established by using the corrosion image collected in different stages. Then, according to the LeNet-5 model , the traditional CNN and improved CNN models were designed for corrosion classification of grounding grid. Simulation experiments were carried out in the preprocessed samples. Finally, the experimental results of Soft-max and SVM classifier are compared and analyzed. The results show: the classification results of the two models were better than those of the original samples, and the classification performance of SVM is better than that of Soft-max. The improved model can improve classification accuracy. This study fills the blank of detecting the corrosion degree of grounding grid by image method, and it is significant to quickly grasp the corrosion degree to avoid faults or accidents.

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Behaviour of grounding systems in multilayer soils: a parametric analysis

Cited by 99 publications

References 8 publications

Soil resistivity and ground resistance for dry and wet soil

Soil resistivity and ground resistance for dry and wet soil

Analysis of Current Density in Soil for Resistivity Measurements and Electrical Grounding Designs

Research on grounding grid corrosion classification method based on convolutional neural network

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