2006
DOI: 10.1109/tpwrd.2005.852337
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Current-Dependent Grounding Resistance Model Based on Energy Balance of Soil Ionization

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Cited by 57 publications
(21 citation statements)
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“…Thus, more investigation is required to improve the model. An interpretation of the model by Sekioka et al [20] reveals that Liew-Darveniza's model considers the energy balance concept. This model also shows the hysteresis characteristic of the grounding electrode resistance under impulse condition.…”
Section: Liew-darveniza Modelmentioning
confidence: 99%
“…Thus, more investigation is required to improve the model. An interpretation of the model by Sekioka et al [20] reveals that Liew-Darveniza's model considers the energy balance concept. This model also shows the hysteresis characteristic of the grounding electrode resistance under impulse condition.…”
Section: Liew-darveniza Modelmentioning
confidence: 99%
“…Thus far, many researchers have realized extensive experiments in order to establish a model capable of describing the dynamic behavior of grounding electrode systems at high impulse voltages [2][3][4][5]. From many experimental and simulation results, it was concluded that the dynamic behavior of grounding systems at high impulse currents depends not only on the characteristics of soil ionization but also on the discharge mechanisms [6][7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Such experiments have the advantage of controlled conditions; however, there is uncertainty as to whether they can be reliably extrapolated to replicate full-scale grounding system behaviour. Several models that have been proposed *Address correspondence to this author at the High Voltage Energy Systems Group, School of Engineering, Cardiff University, the Parade, Cardiff CF24 3AA, UK; Tel: +44 (0)29 20875351; Fax: +44 (0)29 20874716; E-mail: Haridn@Cardiff.ac.uk to account for soil ionisation and non-linear thermal effects [7][8][9][10][11] rely on these experiments for validation. However, field experiments on full-scale grounding systems offer a more realistic way of validating model computations because of their unbounded environment and non-uniform soil conditions.…”
Section: Introductionmentioning
confidence: 99%