Optimal selection of disruptive effect models parameters for the reproduction of MV insulators volt-time characteristics under standard and non standard lightning impulses

Ancajima, A.; Carrus, A.; Cinieri, E.; Mazzetti, C.

doi:10.1109/pct.2007.4538411

Cited by 12 publications

(6 citation statements)

References 1 publication

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“…On the other hand, the chromosome to obtain the parameter of Kind's model only has one gene that corresponds to the first one in Figure 3. To set the initial population, the determination of the inception voltage, U 0 , is established from the experimental measurements and their fit to a normal distribution [46,57,58]. It was found that U 0 is in the range from 35% to 73% of U 50 [47,55].…”

Section: Proposed Methodologymentioning

confidence: 99%

External Multi-Gap Lightning Arrester Modeling Using the Integration Method

Rodríguez-Serna,

Villa-Acevedo,

López-Lezama

2024

Energies

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Electric power distribution networks are exposed to both internal and external disturbances. Lightning strikes are among the latter and are responsible for a significant percentage of damage in distribution transformers, especially in rural areas. Electric utilities must pay special attention to prevent damage and service interruption due to these unforeseeable events. In this context, Surge Protection Devices (SPDs) combined with a series of external air gaps are designed to safeguard electric equipment and systems from transient over-voltages. There are several well-known models of SPDs in the specialized literature; nonetheless, few studies have been carried out with external gaps and multi-gaps. The main contribution of this paper is a methodology to model the disruptive effect in an external air gap by determining the parameters of Kind’s and Chowdhuri’s models using the integration method. The adjustment of the model parameters is carried out by a genetic algorithm (GA). The proposed model was tested and validated using experimental measurements, and its capability to predict the time-to-breakdown under different impulse voltages was verified.

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Section: Proposed Methodologymentioning

confidence: 99%

External Multi-Gap Lightning Arrester Modeling Using the Integration Method

Rodríguez-Serna,

Villa-Acevedo,

López-Lezama

2024

Energies

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“…If the calculated value of DE exceeded the DE * value, flashover occurred. In this work, the constants DE * , U 0 , and k were determined using the lowest variance method proposed by [27] and raised for an insulator with voltage class 25 kV and CFO equal to 180 kV. The model was implemented through ATP's MODELS programming module, similar to the model used in [28].…”

Section: Development Of Equipment Models For Transient Studiesmentioning

confidence: 99%

Methodology for Analysis of Electric Distribution Network Criticality Due to Direct Lightning Discharges

et al. 2020

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Direct lightning discharges in overhead distribution networks invariably cause serious insulation damage, frequently leading to the electric system’s partial or total shutdown. Installing lightning arresters can be very effective, and it is commonly used to minimize this problem; however, considering that typically, electric distribution grids exhibit a very large number of electrical nodes, the massive use of lightning arresters may not be economically viable. In this way, this article proposes a methodology for allocating lightning arresters that can significantly reduce the number of lightning arresters installed, but at the same time maintaining an adequate protection level for the distribution grid. The proposed methodology, named Direct Discharge Crossing (DDC), analyzes the network criticality based on two main factors, which are the overvoltage magnitudes and the number of flashovers provoked by lightning discharges, and defines a feeder lightning performance function that is used to indicate the recommended location for lightning arresters’ installation. The simulation studies are accomplished using the IEEE 34 bus distribution grid and ATP software to demonstrate the efficacy of the proposed solution, which is confirmed by the results presented.

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“…those proposed by Witzke and Bliss [10], [11], Kind [12], Darveniza and Vlastos [13], Chowdhuri et al [14], Hileman [15], and Ancajima et al [16], [21], [22]. The method proposed by Ancajima et al [16][21] [22] can be viewed as an improvement of the Chowdhuri et al [14] method, as it introduces an important modification in the latter for the calculation of V 0 . The parameter K is computed from [16]:…”

Section: The Disruptive Effect Modelmentioning

confidence: 99%

A proposal for the prediction of the volt-time curves of MV insulators based on the Disruptive Effect Model

Shigihara

Piantini

Ramos

et al. 2015

2015 International Symposium on Lightning Protection (XIII SIPDA)

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This paper presents a novel method to estimate the parameters of the Disruptive Effect Model for the prediction of the volt-time curves of medium voltage (MV) insulators. Two non-standard impulse voltage waveshapes, of both polarities, were adopted in the tests, namely 1.2 / 10 µs and 7.5 / 30 µs. The measured volt-time characteristics of a 15 kV class pin-type insulator were compared with those predicted by four different procedures related to the Disruptive Effect Model: Darveniza and Vlastos; Hileman; Ancajima et al., and the one proposed in this paper. The results show that the methods by Darveniza and Vlastos and by Hileman do not predict insulator breakdown for the lower peak voltage levels of the 1.2/10 μs waveshape of both polarities. On the other hand, a relative good agreement is found between theoretical and experimental results for the calculations performed using the method proposed in this paper and the one by Ancajima et al.

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Optimal selection of disruptive effect models parameters for the reproduction of MV insulators volt-time characteristics under standard and non standard lightning impulses

Cited by 12 publications

References 1 publication

External Multi-Gap Lightning Arrester Modeling Using the Integration Method

External Multi-Gap Lightning Arrester Modeling Using the Integration Method

Methodology for Analysis of Electric Distribution Network Criticality Due to Direct Lightning Discharges

A proposal for the prediction of the volt-time curves of MV insulators based on the Disruptive Effect Model

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