Inhomogeneous field breakdown in GIS-the prediction of breakdown probabilities and voltages. II. Ion density and statistical time lag

Wiegart, N.; Niemeyer, L.; Pinnekamp, Friedrich; Boeck, Wolfram; Kindersberger, J.; Morrow, R.; Zaengl, W.S.; Zwicky, M.; Gallimberti, I.; Boggs, S.A.

doi:10.1109/61.193870

Cited by 79 publications

(30 citation statements)

References 9 publications

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“…The ions in the gas gap are mainly created by ionization from cosmic rays [38]. In the literature values are given for the ionization of air (3 IP cm -3 s -1 [42]) and SF6 (10 IP cm -3 s -1 [43]) at atmospheric pressure due to cosmic rays. As these values are in the same order of magnitude, the equilibrium density of negative ions − in HFO1234ze is assumed to be similar and is chosen to be equal to the number density of SF6 [8]:…”

Section: Positive Protrusionmentioning

confidence: 99%

High voltage insulation properties of HFO1234ze

Koch

Franck

2015

IEEE Trans. Dielect. Electr. Insul.

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Section: Positive Protrusionmentioning

confidence: 99%

High voltage insulation properties of HFO1234ze

Koch

Franck

2015

IEEE Trans. Dielect. Electr. Insul.

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“…A general equation which can represent the relation between τ statave and ∆t n is given by equation (12). It shows that in general, the average statistical time lag increases with the average time difference between consecutive PDs.…”

Section: Test Samplementioning

confidence: 99%

“…The simulation of PD used in this work is based on the previous model that has been reported in [11]. The occurrence of a PD event is modeled using a probability function, which depends on the electron generation rate, surface charge decay rate and charge distribution along the void surface [11][12][13][14]. From the proposed approach in this work, an understanding on the physical explanation about the statistical time lag on the occurrence of PD may be attained.…”

Section: Introductionmentioning

confidence: 97%

Determination of partial discharge time lag in void using physical model approach

Illias

Tunio

Mokhlis

et al. 2015

IEEE Trans. Dielect. Electr. Insul.

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Repetition of partial discharge (PD) activities within a dielectric insulation of high voltage equipment may lead to dielectric breakdown, eventually resulting in failure of the whole equipment. Thus, PD measurement is essential in high voltage insulation system. Modeling of PD activity may increase an understanding of PD phenomenon. One of the parameters which can be determined from PD modeling is the statistical time lag. In this work, a physical model of PD using finite element analysis (FEA) method has been developed to determine the relationship of statistical time lag with different applied stresses; these include different applied voltage, frequency and temperature. The statistical time lag as a function of different applied stresses was determined through comparison between measurement and simulation results. The proposed experimental-modeling approach may increase an understanding on the physical explanation about the statistical time lag.

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“…This natural ionization is due to cosmic background radiation and radioactive decay events occurring in the vicinity of the gas. Consequently, the ionization rate depends on the exact position of the laboratory where the experiment takes place [19]. In our laboratory 10 m below ground level, we measured a natural ionization rate İ P = 29 ion pairs /cm³s in 0.5 MPa SF6.…”

Section: 11mentioning

confidence: 99%