Volt–Time Curve Prediction of Distribution Insulators Under Standard and Typical Lightning Overvoltages Using the Disruptive Effect Method

Rodrigues, André Roger; Guimarães, Geraldo Caixeta; Boaventura, Wallace C.; Lima, Jose Luis Cerqueira; Chaves, Marcelo Lynce Ribeiro; Silva, A. M. B.

doi:10.1007/s40313-016-0297-4

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…The values of parameters k, D, and v 0 are determined via the volt-time curve of the system and observing the withstand voltage of the dielectric under standard lightning overvoltages. Analytical and statistical methods are used to predict the behavior of the spark gap and calculate the best values for the aforementioned parameters [31]. However, more often than not, for the sake of simplicity and under the standard overvoltage impulses, k is set to 1.00 and the other two parameters are adjusted accordingly [30,32] as described in Section 3.…”

Section: Spark Gapmentioning

confidence: 99%

Evaluation of Filtered Spark Gap on the Lightning Protection of Distribution Transformers: Experimental and Simulation Study

et al. 2020

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Protection of transformers, as one of the most expensive equipment in the power system, against lightning overvoltage impulses is a vital task. This paper, for the first time so far, investigates the effects of a filtered spark gap on the protection level of transformers against lightning overvoltage impulses. The filter is an inductor that is placed in series with the transformer and before the spark gap aiming to reduce the voltage at the connection point of the spark gap, and hence, enhancing the protection level of the transformer under lightning overvoltages. The experimental laboratory tests are accomplished on a 400 kVA, 22/0.4 kV, Delta-Star ( Δ − Y ) connection type transformer under 110 kV, and 125 kV overvoltage impulses, whereas the size of the spark gap is set to 80 mm and two inductors of 35 μ H and 119 μ H are considered. In order to perform a more in-depth analysis, a model that works reasonably close to the empirical case is developed in the EMTP-RV software. An optimization algorithm is used to determine the sensitive parameters of the double-exponential function, which is used to reproduce the applied laboratory lightning impulse voltages in the EMTP-RV environment. Moreover, the transformer is modeled according to the Cigre Guidelines (Working Group 02 of Study Committee 33). The behavior of the spark gap is simulated as close as the practical situation using the disruptive effect method. The preciseness of the simulated filtered spark gap model is verified by comparing the results of the simulated model in the EMTP-RV with the results of experimental tests. After verifying the model, different sizes of inductors are studied in the EMTP-RV environment to investigate whether larger or smaller inductors provide better protection for the transformer under lightning conditions. A comparison is performed among the conventional spark gap, surge arrester, and the filtered spark gap to provide a better analysis of the potential of the proposed device. The results indicate that proper sizing of the inductor, within an effective range, slightly enhances the protection level of the transformer.

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Section: Spark Gapmentioning

confidence: 99%