Determination of Parasitic Inductance of Surge Protective Devices

This work investigates the effectiveness of various state-of-the-art techniques for determining the parasitic inductance of surge protective devices across a wide frequency range. This is critical, as the intrinsic inductive characteristics of surge protective devices influence their maximum residual voltage, which directly affects their protection efficiency against fast-front transients with high current derivatives. To provide an innovative solution to the problem of parasitic inductance determination, the parasitic inductance of single-phase and three-phase DIN rail surge protective devices is estimated by replacing the voltage-limiting components with copper blocks. Three methods are employed to estimate the parasitic inductance: (i) Impedance spectroscopy measurements, (ii) impulse current tests, and (iii) finite element analysis simulations. The results are analyzed to evaluate the accuracy of the proposed methods and address key challenges encountered in determining the parasitic inductance. It is found that the parasitic inductance of the protection mode exhibiting the longer surge current path is up to 1.6 times greater than that of the shortest surge current path for the three-phase (3+1) surge protective device, and consequently the maximum residual voltage increases by ~10% when subjected to its nominal discharge current of 20 kA with an 8/20 μs waveform for the same protection modes.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3561772
Citations
7
Primary Topic
Material Properties and Failure Mechanisms
Type
article
Field-Weighted Citation Impact
3.62
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article

Determination of Parasitic Inductance of Surge Protective Devices

Andreas I. Chrysochos, Stylianos Koumlis, Alexandros Y. Hadjicostas, Georgios D. Peppas et al.
7 citations
IEEE Transactions on Instrumentation and Measurement
Material Properties and Failure Mechanisms
3.62
article

Determination of Parasitic Inductance of Surge Protective Devices

Andreas I. Chrysochos, Stylianos Koumlis, Alexandros Y. Hadjicostas, Georgios D. Peppas, Thomas E. Tsovilis
article en
7 citations

Abstract

This work investigates the effectiveness of various state-of-the-art techniques for determining the parasitic inductance of surge protective devices across a wide frequency range. This is critical, as the intrinsic inductive characteristics of surge protective devices influence their maximum residual voltage, which directly affects their protection efficiency against fast-front transients with high current derivatives. To provide an innovative solution to the problem of parasitic inductance determination, the parasitic inductance of single-phase and three-phase DIN rail surge protective devices is estimated by replacing the voltage-limiting components with copper blocks. Three methods are employed to estimate the parasitic inductance: (i) Impedance spectroscopy measurements, (ii) impulse current tests, and (iii) finite element analysis simulations. The results are analyzed to evaluate the accuracy of the proposed methods and address key challenges encountered in determining the parasitic inductance. It is found that the parasitic inductance of the protection mode exhibiting the longer surge current path is up to 1.6 times greater than that of the shortest surge current path for the three-phase (3+1) surge protective device, and consequently the maximum residual voltage increases by ~10% when subjected to its nominal discharge current of 20 kA with an 8/20 μs waveform for the same protection modes.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Aristotle University of Thessaloniki (GR), Hellenic Telecommunications Organization (Greece) (GR), Technical University of Crete (GR)
Zero hunger
Openalex Percentile: Top 7%
Material Properties and Failure Mechanisms
3.62
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Determination of Parasitic Inductance of Surge Protective Devices — Andreas I. Chrysochos, Stylianos Koumlis, et al. · IEEE Transactions on Instrumentation and Measurement (2025) | TGRS Research Map | TGRS