晏威, 肖纯, 吴细秀, 李俊逸, 唐小亮, 杨芳. 基于雷电活动特征的10 kV配电线路雷击跳闸率计算[J]. 高电压技术, 2021, 47(3): 1118-1127. DOI: 10.13336/j.1003-6520.hve.20200583
引用本文: 晏威, 肖纯, 吴细秀, 李俊逸, 唐小亮, 杨芳. 基于雷电活动特征的10 kV配电线路雷击跳闸率计算[J]. 高电压技术, 2021, 47(3): 1118-1127. DOI: 10.13336/j.1003-6520.hve.20200583
YAN Wei, XIAO Chun, WU Xixiu, LI Junyi, TANG Xiaoliang, YANG Fang. Calculation of Lightning Trip Out Rate of 10 kV Distribution Lines Based on Lightning Activity Characteristics[J]. High Voltage Engineering, 2021, 47(3): 1118-1127. DOI: 10.13336/j.1003-6520.hve.20200583
Citation: YAN Wei, XIAO Chun, WU Xixiu, LI Junyi, TANG Xiaoliang, YANG Fang. Calculation of Lightning Trip Out Rate of 10 kV Distribution Lines Based on Lightning Activity Characteristics[J]. High Voltage Engineering, 2021, 47(3): 1118-1127. DOI: 10.13336/j.1003-6520.hve.20200583

基于雷电活动特征的10 kV配电线路雷击跳闸率计算

Calculation of Lightning Trip Out Rate of 10 kV Distribution Lines Based on Lightning Activity Characteristics

  • 摘要: 雷电活动强度和雷击点的随机性是影响雷击跳闸率的主要因素。为综合考虑雷电活动地域性差异及随机性,提高雷击跳闸率计算精度,建立了实际雷电活动特征下基于蒙特卡罗法的雷击跳闸率计算模型。根据雷击跳闸原理,建立只与雷电活动强度和雷击点的随机性参数相关的雷击跳闸率的函数表达式。为考虑雷电活动特性,利用雷电定位系统监测数据,采用绝对中位差方法进行离群值分析,并通过非线性最小二乘法和描述统计法拟合得到描述雷电活动特征的雷电流幅值概率分布模型和地闪密度值。采用蒙特卡罗法解决落雷位置、雷电流幅值大小等随机性问题。为考虑树木、建筑物等影响,提出基于屏蔽因子的改进电气几何模型方法确定引雷范围。在上述工作基础上,建立了基于蒙特卡罗法的考虑雷电活动特征的10 kV配电线路雷击跳闸率计算模型。研究结果表明,最终计算结果为17.46次/(100km·a),与实际统计结果17.22次/(100km·a)相比,相对误差仅为1.4%。采用实际雷电参数统计结果对雷击跳闸率的计算有着优化作用,并显著提高了结果的准确度。

     

    Abstract: The intensity of lightning activity and the randomness of lightning points are the main factors that affect the lightning trip rate. In order to comprehensively consider the regional differences and randomness of lightning activities and improve the calculation accuracy of lightning trip rate, a lightning trip rate calculation model based on the Monte Carlo method considering the characteristics of lightning activity is established. According to the principle of lightning trip, a function expression of lightning trip rate which is only related to the lightning activity intensity, and the randomness parameters of lightning point is established. In order to consider the characteristics of lightning activity, the lightning data of the lightning location system(LLS) are utilized, the outlier analysis is performed using the median absolute deviation method, and a cumulative probability distribution model of lightning current magnitude and ground lightning density are obtained by using nonlinear least square method and descriptive statistical method. The Monte Carlo method is used to solve the random problems such as the location of lightning strike, the magnitude of lightning current, and the lightning strike line. In order to consider the influence of trees and buildings, an improved electrical geometric model method based on shielding factors is proposed to determine the range of lightning. Based on the above work, a calculation model of lightning trip rate of 10 kV distribution lines based on the Monte Carlo method considering the characteristics of lightning activity is established. The research results show that the final calculation result is 17.46 times/(100km·a), and the error is only 1.4% compared with the actual statistical result of 17.22 times/(100km·a). The statistical results of actual lightning parameters are used to optimize the calculation of the lightning trip rate and significantly improve the accuracy of the results.

     

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