摘要
现阶段的窃电检测方法存在检测结果准确率低、检测时间较长的问题,不能满足高精度检测与实时性检测的需求。为了解决传统方法中存在的问题,提出基于智能无线电流钳的防窃电自动检测方法。首先,通过VMD算法和CFSFDP算法建立用户用电负荷曲线可控聚类模型;其次,通过用电负荷曲线可控聚类模型分析用户用电行为特征,初步筛选疑似窃电用户;最后,采用智能无线电流钳实现防窃电的自动检测。实验结果表明,所提方法的防窃电检测准确率高、检测时间较短,具有较好的实际应用性能。
At present,the detection methods of electricity theft have the problems of low accuracy of detection results and long detection time,which can not meet the needs of high-precision detection and real-time detection.In order to solve the problems existing in the traditional methods,this paper proposes an automatic detection method for electricity theft based on intelligent radio current clamp.First,the controllable clustering model of user’s power load curve is established by VMD algorithm and CFSFDP algorithm;secondly,through the controllable clustering model of power load curve,the characteristics of user’s power consumption behavior are analyzed,and the suspected power stealing users are preliminarily screened;finally,the intelligent wireless current clamp is used to realize the automatic detection of electricity theft.The experimental results show that the proposed method has high detection accuracy,short detection time and good practical application performance.
作者
杨鹏举
王涛云
杨恒
孟垂攀
YANG Pengju;WANG Taoyun;YANG Heng;MENG Chuipan(State Grid Shanghai Jinshan Electric Power Supply Company,Shanghai 200540,China)
出处
《机械与电子》
2023年第10期44-48,共5页
Machinery & Electronics
关键词
智能无线电流钳
防窃电自动检测
用电负荷曲线
用电行为
聚类模型
intelligent wireless current clamp
anti-theft electricity automatic detection
power load curve
power consumption behavior
clustering model