摘要
以准确和高效检测配网设备故障为研究核心,提出基于数据挖掘的配网设备故障智能检测方法。采用基于时间序列的配网设备运行数据预处理方法,预处理配网设备运行数据中的噪声点异常数据,提高数据质量;将预处理数据导入基于数据挖掘的配网设备故障智能检测模型中,计算配网设备运行故障的概率,定位存在故障的配网设备位置,实现配网设备故障智能检测。结果表明:配网设备故障检测精度高,可实时检测配网设备故障。
With accurate and efficient detection of distribution network equipment failures as the research core,a data mining-based intelligent detection method of distribution network equipment failures was proposed.The whole process was to use time series-based distribution network equipment operation data preprocessing method to preprocess the noise point abnormal data in the distribution network equipment operation data to improve the data quality;import the preprocessed data into the intelligent detection model of the distribution network equipment failure based on data mining.In the model,the probability of the operation failure of the distribution network equipment was calculated,the location of the distribution network equipment with the fault was located,and the intelligent detection of the distribution network equipment failure was realized.The test results show that the fault detection accuracy of the distribution network equipment is high,and the fault of the distribution network equipment can be detected in real time.
作者
庄黎明
谢海宁
陆健
尹建坤
Zhuang Liming;Xie Haining;Lu Jian;Yin Jiankun(Electric Power Research Institute of State Grid Shanghai Electric Power Company,Shanghai 200437,China;HKUST Intelligent Electrical Technology Co.,Ltd.,Hefei Anhui 230088,China)
出处
《电气自动化》
2022年第2期88-90,95,共4页
Electrical Automation
关键词
数据挖掘
配网设备故障
智能检测
数据预处理
时间序列
data mining
distribution network equipment fault
intelligent detection
data preprocessing
time series
