Experimental analysis of flashover characteristics for overhead power lines based on the lightning fractal model
|更新时间:2025-10-16
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Experimental analysis of flashover characteristics for overhead power lines based on the lightning fractal model
Vol. 44, Issue 1, Pages: 126-135(2025)
作者机构:
西安交通大学电气工程学院,陕西,西安,710049
作者简介:
基金信息:
DOI:
CLC:TM75
Published:2025
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ZHAN Jintao. Experimental analysis of flashover characteristics for overhead power lines based on the lightning fractal model[J]. 2025, 44(1): 126-135.
DOI:
ZHAN Jintao. Experimental analysis of flashover characteristics for overhead power lines based on the lightning fractal model[J]. 2025, 44(1): 126-135.DOI:
Experimental analysis of flashover characteristics for overhead power lines based on the lightning fractal model
a fractal model that can reflect the tortuosity and dispersion of lightning has been gradually used in the research of lightning shielding performance for overhead power lines
based on electrical geometric models and pioneering development models. In this paper
a 1:40 scaled experimental platform based on the equivalence between simulation experiments and natural lightning is constructed
with the ZB6T type tower commonly used in 500 kV transmission lines as the research object. A negative polarity impulse wave of 160/2 500 μs is applied to investigate the relationship between flashover probability
spatial distribution
and protection angle. Based on the WZ model and finite difference method
a lightning fractal model is established
and the characteristics of line flashover are simulated and analyzed under the configuration of the scaled experimental gap. Both the simulation experiments and the simulation results indicate that the points with high flashover probability are concentrated near the transmission line
and the overall flashover space presents a parabolic shape
conforming to the flashover law. As the protection angle decreases
the flashover probability decreases correspondingly
and the flashover space slightly decreases. The simulation results verify the reliability of the simulation experiments and the correctness of the model. Comparing the simulation results with the experimental data