一种用于输电线路电压测量的新型优化高斯积分

Jiaming Zhang, Zejie Tan, Zhenheng Xu, Zhong Liu, B. Tian, Zhiming Wang, Q. Lv, Bofeng Luo, Xinting Liu, Jun Hu
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引用次数: 0

摘要

高斯积分法、切比雪夫积分法和高斯-勒让德积分法是用于非接触电压测量反演电场的主要方法。然而,这些方法没有考虑传感器位置偏差的影响。在这些方法中,传感器的位置分布可能不合理。为此,本文提出了一种将高斯积分法与遗传算法相结合的输电线路电压测量优化高斯积分方法。在遗传算法中引入了位置灵敏度约束条件。研究发现,优化后的高斯积分法大大提高了计算精度,使单回路和双回路导体的传感器分布更加合理,而对于接触网线,在接触网线最高点以下使用的优化高斯积分法是唯一有效的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Optimized Gauss Integral for Transmission Line Voltage Measurement
Gauss integral method, Chebyshev integral method, and Gauss-Legendre integral method are the main methods used for the non-contact voltage measurement to inverse the electric field. However, these methods don’t consider the influence of sensor position deviation. And the sensor position distribution might be unreasonable in these methods. Therefore, this paper proposed a novel optimized Gauss integral for transmission line voltage measurement, which combines the Gauss integral method and genetic algorithm. Furthermore, position sensitivity constraint condition is taken into the genetic algorithm. It is found that the optimized Gauss integral method improves the calculation accuracy greatly and makes the sensor distribution more reasonable for single conductors and double loop conductors, and for the catenary line, the optimized Gauss integral method used below the highest point of the catenary line is the only useful method.
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