Probabilistic Assessment of Ground Potential Rise Using Finite Integration Technique

Ali Asghar Razi-Kazemi, Mostafa Hajian

Research output: Contribution to journalArticle

Abstract

The behavior of grounding systems against waves with high-frequency content such as lightning or very fast transient overvoltages is completely different from the steady state. This paper presents a more flexible model of a grounding system with respect to frequency dependency of electrical parameters of soil and moisture variations using the finite integration technique (FIT). The applicability and accuracy of the FIT have been verified against experiments as well as conventional methods such as method of moments, finite-difference time-domain method, and partial element equivalent circuit. In addition, the impacts of moisture variations of soil on resistivity and permeability have been quantified through Weibull distributions. The obtained probabilistic parameters of soil resulting from moisture uncertainty have been involved in the model to provide a more realistic model. The probabilistic ground potential rise indicated that the grounding system can be optimized up to 50% by accepting a low rate of risk depending on the soil moisture level. The provided insight is a beneficial approach, especially for a gas insulation substation, where the available space is limited for a grounding system.
Original languageEnglish
Pages (from-to)2452-2461
Number of pages10
JournalIEEE Transactions on Power Delivery
Volume33
Issue number5
Early online date6 Mar 2018
DOIs
Publication statusPublished - Oct 2018

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Electric grounding
Moisture
Soils
Antenna grounds
Weibull distribution
Finite difference time domain method
Soil moisture
Lightning
Method of moments
Equivalent circuits
Insulation
Gases
Experiments

Keywords

  • Soil
  • Grounding
  • Mathematical model
  • Ground penetrating radar
  • Electrodes
  • Time-domain analysis
  • Conductivity

Cite this

Probabilistic Assessment of Ground Potential Rise Using Finite Integration Technique. / Razi-Kazemi, Ali Asghar; Hajian, Mostafa.

In: IEEE Transactions on Power Delivery, Vol. 33, No. 5, 10.2018, p. 2452-2461.

Research output: Contribution to journalArticle

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