Considerations about power system grounding for different soil structure

Neamt, Liviu; Chiver, Olivian; Barz, C; Costea, Cristinel; Erdei, Zoltan

doi:10.1109/icepe.2014.6970066

Cited by 5 publications

(2 citation statements)

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“…The FEA for these configurations are presented in details in [12]. The results kept in these step, are the grounding resistances for 300 configurations generated by variations of the next variables: L = 1 ÷ 3 m, the thickness of the upper layer t up = 0 ÷ ∞, the ratio between upper and inferior layer www.ijacsa.thesai.org resistivity ρ up /ρ inf = 0.2 ÷ 5.…”

Section: Vertical Rod Grounding Structurementioning

confidence: 99%

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Finite Element Method Combined with Neural Networks for Power System Grounding Investigation

Neamt¹,

Matei²,

Chiver³

2017

ijacsa

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Abstract-Even in homogenous soil and for simple geometrical structure the analytical design of a grounding system is a complex and not very accurate procedure. Using Finite Element Analysis (FEA) it can perform a precise design for complex grounding systems but with important hardware resources and time consumption. This paper proposes a methodology for power system grounding design, directed to ensure the advantages of the FEA but without its disadvantages. This is realized by adding the function emulation using neural networks. The vertical rod, buried in inhomogeneous soil is the subject of this presentation. Consequently, the first step was to perform FEA for a large number of configurations: different types of vertical rods connected to the surface, buried at various depths in different double-layer soil structures. Then, the results have been interpreted through a multi-layer perceptron (MLP) with one hidden layer. A compromise between the number of inputs and precision have been tested, in order to define a minimum number of FEA required to obtain an acceptable grounding system design, i.e. a desired grounding resistance, for any combinations of the geometrical and material parameters. The validation of the methodology was done based on data reported in various research works.

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Section: Vertical Rod Grounding Structurementioning

confidence: 99%

“…The number of hidden neurons was set to 10, and sigmoid as transfer function, as this seems to be a reasonable architecture, according to [12].…”

Section: Researching the Best Neural Architecturementioning

confidence: 99%