A three‐dimensional direct lightning strike model for lightning protection of the substation

Guo, Jun; Zhang, Xudong; Wang, Bangyong; Hao, Xuezhao; Zheng, Shengquan

doi:10.1049/gtd2.12213

Cited by 21 publications

(5 citation statements)

References 31 publications

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“…Moreover, it is more in agreement with the leader branching and tortuous characteristics often observed with lightning. And the stochastic model was used for analyzing the lightning attachment process in [15][16][17]. However, the above research does not consider the polarity effect and the lightning current amplitude.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Cloud-to-Ground Lightning Strikes to Wind Turbines Considering Polarity Effect Based on an Improved Stochastic Lightning Model

Bian

Zhou

et al. 2023

Atmosphere

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The accurate determination of the annual lightning flash number to a wind turbine is essential for designing proper lightning protection measures. However, the method to assess the lightning risk of wind turbines recommended by the IEC is not associated with the actual lightning attachment process. Additionally, there is little research on positive cloud-to-ground (+CG) lightning. In this study, a lightning risk assessment method correlated with wind turbines on the basis of an improved stochastic lightning model is proposed. Based on the model, the influence of the lightning current amplitude, wind turbine heights and blade rotations on lightning strike risk are quantitatively analyzed. Moreover, the development and distribution characteristics of negative cloud-to-ground (−CG) lightning and +CG lightning are discussed. Finally, a more accurate calculation method of lightning strike risk is proposed considering the polarity effect. The results show that the effect of blade rotations on lightning risk cannot be ignored when the lightning current is large or when the wind turbine is tall. The −CG lightning has more bifurcation, but the dispersity of its development path and the lightning strike point are both small. The +CG lightning has scattered lightning strike points, and the development paths are tortuous, and. According to the verification calculation, the results calculated in this paper are in better agreement with the observation data than the results calculated by the IEC (International Electrotechnical Commission) recommended method.

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Section: Introductionmentioning

confidence: 99%

Simulation of Cloud-to-Ground Lightning Strikes to Wind Turbines Considering Polarity Effect Based on an Improved Stochastic Lightning Model

Bian

Zhou

et al. 2023

Atmosphere

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“…In the stage of lightning leader developing towards the ground, different underlying surface environments will have an impact on the charge in the area where the pole-tower is located, thereby affecting the lightning density and lightning current amplitude suffered by the pole-towers (Guo et al, 2021;Liang et al, 2021). Assuming that the lightning leader is located in a vertical cylinder with a radius of 1, the height from the bottom of the thunderstorm cloud to the ground is H, and the height from the head of the lightning leader to the ground is h. At time t t 0 , the lightning leader continuously develops downwards at the current transmission speed v. When the average electric field strength between the lightning leader and the ground reaches the air breakdown field strength, discharge begins, and the air is broken down.…”

Section: Lightning Leader Simplified Modelmentioning

confidence: 99%

Refined risk assessment and differentiated protection of lightning damage in distribution network lines considering the underlying surface environment

Wan,

Fu,

et al. 2024

Front. Energy Res.

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The distribution line is widely distributed and the span of pole-towers is small. However, the existing lightning positioning system has limited positioning accuracy, and the lightning strike coordinates it locates have certain deviations for the distribution network. The lightning hazard risk divided by lightning density is not sufficient to support the differentiated lightning protection transformation of the distribution network. The environment of the underlying surface where the pole-tower is located has a significant impact on lightning activity, so this paper combines terrain, climate, lightning current characteristics, and historical lightning trip data to finely evaluate the lightning risk level in the distribution line pole-tower area. This paper provides a detailed analysis of the relationship between different underlying surface environments and lightning current characteristics and utilizes the entropy weight method to construct a comprehensive lightning disaster risk index, then evaluates the risk level of lightning disaster in different regions, and corrects it through lightning fault data. Overlaying the risk level of the area and the distribution map of the pole-tower foundation coordinates, it will obtain the distribution of lightning hazard-pregnant risk at the pole-tower area, which would contribute to guiding the differentiated lightning protection transformation of the line. Compared to traditional unified lightning protection renovation methods, differentiated lightning protection methods that integrate factors such as pole-tower structure, wire type, and lightning risk level can achieve significant lightning protection effects at a lower economic cost. Taking Nanchang City as an example, risk assessment and lightning protection renovation were conducted on 21 distribution lines. The average number of lightning trips per year is 55 before the renovation, but it is only 4 after the renovation, which the number of lightning trips significantly reduce. This verifies the effectiveness of using lightning hazard-pregnant assessment results to guide differentiated lightning protection methods.

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“…These are applied for the simulation of laboratory-scale electrical discharges [19], [20] as well as lightning discharges [21], [22]. In addition, fractal models were employed for the lightning performance assessment of common structures [23], [24], power system components such as overhead transmission lines [25], [26], [27], [28] and substations [29], [30], [31], and more recently to lightning incidence estimation to wind turbines [32], [33].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Direct-Stroke Shielding Performance of Substations Through Stochastic Modeling of Lightning Attachment

Ioannidis,

Tsovilis

2024

IEEE Trans. Electromagn. Compat.

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This article introduces a methodology for assessing the direct-stroke shielding performance of high-voltage substations. The proposed methodology considers both negative and positive lightning polarity and can be employed by any lightning attachment model that follows a probabilistic approach. A stochastic lightning attachment model is used, which considers the lightning discharges probabilistic progression. Stochastic model results on lightning discharge propagation, lightning attachment, and induced electric fields are in satisfactory agreement with field observations; comparisons are also made and discussed with respect to other well-established lightning attachment models. An application of the proposed methodology is performed to estimate the lightning incidence rate and shielding failure flashover rate of a 69 kV substation; the effect of lightning activity at the substation location is elucidated.

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A three‐dimensional direct lightning strike model for lightning protection of the substation

Cited by 21 publications

References 31 publications

Simulation of Cloud-to-Ground Lightning Strikes to Wind Turbines Considering Polarity Effect Based on an Improved Stochastic Lightning Model

Simulation of Cloud-to-Ground Lightning Strikes to Wind Turbines Considering Polarity Effect Based on an Improved Stochastic Lightning Model

Refined risk assessment and differentiated protection of lightning damage in distribution network lines considering the underlying surface environment

Evaluation of the Direct-Stroke Shielding Performance of Substations Through Stochastic Modeling of Lightning Attachment

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