摘要
针对传统方法在电量信息采集设备故障管理过程中出现的故障检测不精准,难以获得具有代表性的线损故障变量的问题,提出并设计了一种电量信息采集设备线损故障自动检测方法。根据故障对电能在信息采集过程中产生电量损耗的影响,分析了线损故障的可测性,并利用概率分布理论,生成了故障检测统计量,同时,构建了基于神经网络的故障自动检测算法,完成线损故障的自动检测方法设计。在MATLAB平台内模拟电量信息采集过程中线损故障的自动检测过程,结果显示,设计的自动检测方法能够获得具有代表性的线损变量,较传统方法的故障检测精准度高出了26%,说明自动检测方法具备极高的有效性。
Aiming at the problem of inaccurate fault detection and difficulty in obtaining representative line loss fault variables in the process of fault management of power information acquisition equipment by traditional methods,an automatic line loss fault detection method for power information acquisition equipment is proposed and designed.According to the influence of faults on power loss in the process of information acquisition,the testability of line loss faults is analyzed,and fault detection statistics are generated by using probability distribution theory.At the same time,an automatic fault detection algorithm based on neural network is constructed to complete the design of automatic detection method for line loss faults.The automatic detection process of line loss in the process of collecting electricity information is simulated in MATLAB platform.The results show that the designed automatic detection method can obtain representative line loss variables,which is 26% more accurate than the traditional method.This shows that the automatic detection method has very high effectiveness.
作者
冉懿
刘晓健
董亮
张海丽
毛军辉
YI Ran;LIU Liaojian;DNG Liang;ZHANG Haili;MAO Junhui(State Grid Xinjiang Electric Power Co.,Ltd.Institute of Electric Power Science,Urumqi 830000,China;Zhejiang Huayun Information Technology Co.,LTDyHangzhou 310008,China)
出处
《自动化与仪器仪表》
2019年第12期162-165,共4页
Automation & Instrumentation
基金
国网新疆电力有限公司电力科学研究院项目:2018年国网新疆计量中心用电信息采集系统主站升级改造项目(No.新电发[2018]150号)
关键词
电量信息采集设备
线损故障
自动检测
统计量
电量损耗
electricity information acquisition equipment
line loss fault
automatic detection
statistics
electricity loss