基于Apriori算法的电力二次系统故障定位技术  

Technology of fault location of power secondary system based on Apriori algorithm

作　　者：李军良 畅广辉 刘蒙 徐建航 张泽民 LI Jun-liang;CHANG Guang-hui;LIU Meng;XU Jian-hang;ZHANG Ze-min(NARI Group(State Grid Electric Power Research Institute)Corporation,Beijing 100192,China;State Grid Henan Electric Power Company,Zhengzhou 450052,China;State Grid Jibei Electric Power Company Limited,Beijing 100054,China)

机构地区：[1]南瑞集团(国网电力科学研究院)有限公司,北京100192 [2]国网河南省电力公司,郑州450052 [3]国网冀北电力有限公司,北京100054

出　　处：《信息技术》2022年第10期64-69,共6页Information Technology

基　　金：国家电网有限公司总部科技项目(5700-202040366A-0-0-00)。

摘　　要：针对因电网数据量过大、种类繁多导致电力二次系统故障定位精准度较低的问题,提出基于Apriori算法的电力二次系统故障定位技术。挖掘原始数据信号间的时域关联规则,建立高斯白噪声分阶过滤空间,控制噪声信号的分布范围;建立交易信息关联规则数据集,提取集合中数值占比、概率浓度、相关度等关键参数,三项参数的定位阈值方程求解结果即为电力二次系统故障定位点。仿真实验证明,所提方法在海量电力信息下也能实现精准定位,能较好地满足目前电力应用的需求。Based on the problem of low accuracy of the fault location of power secondary system due to the large amount of grid data and various types, a technology of fault location of power secondary system based on the Apriori algorithm is proposed. Mining the time-domain association rules between the original data signals, establishing the Gaussian white noise hierarchical filtering space, and controlling the distribution range of the noise signal. A data set of transaction information association rules is established, and the key parameters of the value proportion, probability concentration, and correlation degree in the set are extracted. The solution result of the positioning threshold equation of the three parameters is the fault location point of power secondary system. Simulation experiments prove that the proposed method can achieve precise positioning even under massive power information, thereby meeting the needs of current power applications.

关 键 词：Apriori算法数据挖掘 扰动变量 定位阈值 相关度计算 概率浓度 

分 类 号：TM727[电气工程—电力系统及自动化]