摘要
针对继电保护整定计算中现有线路参数可能存在的缺陷,提出基于数据分析方法辨识线路阻抗参数。通过500kV线路阻抗参数的数据挖掘实践,总结了数据分析的思路与方法;基于Tableau建立了线路参数数据挖掘模型,通过数据的可视化展现,发现阻抗参数数据特征;从理论计算与阻抗参数实测法出发,论证分析了影响数据特征背后的机理;基于统计学的中心极限定理,提出了一种结合线路阻抗参数各指标数据特征的单位阻抗实测参数的预测方法,为整定计算线路阻抗参数的辨识及获取提出了新的方法。其研究方法对其他数据分析的研究应用有借鉴作用。
According to the possible defects of line parameters in relay protection setting calculation, this paper presents a method of identifying line impedance parameters based on data analysis. The ideas and methods of data analysis are summarized through the data mining practice of 500 kV line impedance parameters. A data mining model of line parameters is established based on Tableau. Through visualization of data, the characteristics of impedance parameters are found. Based on theoretical calculation and actual measurement of impedance parameters, the influencing data characteristics are demonstrated and analyzed. Based on the central limit theorem of statistics, a prediction method is proposed, which combines the characteristics of each index data on line impedance parameters. A new method is proposed for identifying and acquiring the parameters in relay protection setting calculation. The research method can be used for reference in the research and application of data analysis.
作者
邱智勇
倪腊琴
崔帅
龚仁敏
Qiu Zhiyong;Ni Laqin;Cui Shuai;Gong Renmin(East China Branch of State Grid Corporation of China, Shanghai 200120, China;School of Electrical Engineering, North China Electrical Power University, Baoding 071003, Hebei, China;Beijing ZhonHen JoinBright Digital Electrical Technology Company Limited, Beijing 100085, China)
出处
《电测与仪表》
北大核心
2019年第15期69-76,共8页
Electrical Measurement & Instrumentation
关键词
数据分析
数据挖掘模型
参数辨识
参数预测
data analysis
data mining model
parameter identification
parameter prediction