A parameter identification technique for metal-oxide surge arrester models

Li, H. J.; Birlasekaran, S.; Choi, S.S.

doi:10.1109/tpwrd.2002.1022797

Cited by 40 publications

(17 citation statements)

References 3 publications

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“…The analysis of papers [1,2,[4][5][6][7][8][9][10] published in dif ferent years shows that basically when comparing dif ferent models of metal oxide surge arresters, the above approach with a series connection of the current source and the surge arrester model is used. In most cases, the residual voltage is determined when model is exposed to lightning current impulses, as well as a steep current impulse.…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

“…Thus, in [2,5,[7][8][9][10], lightning current impulses and steep current impulses were used. In [1,4,6], in ad dition, switching current impulses were used to determine the residual voltage. In [6], a simplified simulation of the protection circuit for a power transformer using surge arrester was also performed.…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

“…In [1,4,6], in ad dition, switching current impulses were used to determine the residual voltage. In [6], a simplified simulation of the protection circuit for a power transformer using surge arrester was also performed. The graphs of the transient process on the insulation of the transformer and on the ISSN 2226-3780 surge arrester subjected to a switching current impulse are given.…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

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Analysis and comparison of metal-oxide surge arrester models

Brzhezitsky

Trotsenko

2017

TAPR

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Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

See 1 more Smart Citation

Analysis and comparison of metal-oxide surge arrester models

Brzhezitsky

Trotsenko

2017

TAPR

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“…It is important to point out that the fitting of the parameters was made on a trial and error method. Hence, if optimization algorithms were used to characterize the model, better results could be expected [20,21]. However, this is out of the scope of this study.…”

Section: Response Of Varistor Models To Standard Current Impulsementioning

confidence: 99%

Performance Comparison of Varistor Models under High Current Derivative Impulses

Edirisinghe

Montaño

Cooray

et al. 2013

ILCPA

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Surge protective devices (SPD) testing procedures are mainly performed with standard current pulse types. However, none of these standard current waveforms reproduce the very fast rise time and the large peak current derivatives observed in subsequent return strokes. In the literature there are several mathematical models to represent metal oxide varistor that have been developed based on standard impulse conditions. These models are being used routinely in the analysis of the various electronic circuits under transient conditions. In this paper, a study was conducted to have a performance comparison between the two varistor models, simplified varistor model and Durbak's model, available in the literature under high current derivative impulses. The experiments and simulations were performed on disk type varistors with different diameter sizes, i.e., 20 mm, 10 mm, and 05mm with nominal operating voltage of 230 V. The Roman Generator developed at Uppsala University was used as the high current derivative impulse generator which can produce a peak current up to 1500 A with 10 ns rise time and its rate-of-rise is in the order of 1011 A/s. The results showed that for standard 8/20 µs lightning impulses, simulation results of these models had a good agreement with the experimental data. However, these two models need to be improving in order to improve their performance under high current derivative impulses into the sub-microsecond range.

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“…The precision of the outcomes of each model is very highly influenced by the adjustment of the parameter values. In response to these challenges, various iteration methods have been proposed [15][16][17][18][19][20][21] to compute the parameters that minimize the difference between the results of each model and the manufacturer's data.…”

Section: Introductionmentioning

confidence: 99%

Adjusting the Parameters of Metal Oxide Gapless Surge Arresters’ Equivalent Circuits Using the Harmony Search Method

et al. 2017

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Abstract:The appropriate circuit modeling of metal oxide gapless surge arresters is critical for insulation coordination studies. Metal oxide arresters present a dynamic behavior for fast front surges; namely, their residual voltage is dependent on the peak value, as well as the duration of the injected impulse current, and should therefore not only be represented by non-linear elements. The aim of the current work is to adjust the parameters of the most frequently used surge arresters' circuit models by considering the magnitude of the residual voltage, as well as the dissipated energy for given pulses. In this aim, the harmony search method is implemented to adjust parameter values of the arrester equivalent circuit models. This functions by minimizing a defined objective function that compares the simulation outcomes with the manufacturer's data and the results obtained from previous methodologies.

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A parameter identification technique for metal-oxide surge arrester models

Cited by 40 publications

References 3 publications

Analysis and comparison of metal-oxide surge arrester models

Analysis and comparison of metal-oxide surge arrester models

Performance Comparison of Varistor Models under High Current Derivative Impulses

Adjusting the Parameters of Metal Oxide Gapless Surge Arresters’ Equivalent Circuits Using the Harmony Search Method

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