摘要
电力电网系统在电力传输控制中节点分布具有动态性,容易产生热线预警,为了提高电力热线预警检测能力,提出一种基于小波变换的电力热线预警信息盲检测方法。构建电力热线预警的信号模型,采用随机线性时间序列分析方法构建电力热线预警的统计信号分析模型,对电力热线预警信号采用相关性检测方法进行时频分解,采用小波分析方法将电力热线预警信号从时域向频域转换,根据接收到的两路电力热线预警信息的关联性进行特征匹配和自动分离,实现对电力热线预警信息的盲分离和噪声干扰抑制,采用小波变换和谱特征检测方法,实现对电力热线预警的盲检测。仿真结果表明,采用该方法进行电力热线预警检测的盲分离性能较好,检测准确概率较高,提高了电力热线预警能力。
The node distribution in power transmission control system is dynamic and it is easy to generate hotline warning.In order to improve the ability of power hotline early warning detection,a blind detection method based on wavelet transform for early warning information of power hotline is proposed.The signal model of power hotline early warning is constructed,the statistical signal analysis model of power hotline early warning is constructed by using stochastic linear time series analysis method,and the correlation detection method is used to decompose the early warning signal of power hotline.Wavelet analysis is used to transform the power hotline warning signal from time domain to frequency domain,and the feature matching and automatic separation are carried out according to the relevance of the received two warning information.Blind separation and noise suppression of power hotline warning information are realized.Wavelet transform and spectrum feature detection method are used to realize blind detection of power hotline early warning information.The simulation results show that this method has good blind separation performance and high detection accuracy probability,and improves the ability of power hotline early warning.
作者
钱奇
黄秀彬
李玮
刘剑锋
王政辉
喻玮
QIAN Qi;HUANG Xiubin;LI Wei;LIU Jianfeng;WANG Zhenghui;YU Wei(Beijing KeDong Electric Power Control System Co.Ltd,Beijing 100192,China;State Grid Co.Ltd.Customer Service Center,Tianjin 300000,China)
出处
《自动化与仪器仪表》
2020年第1期181-184,共4页
Automation & Instrumentation
基金
国家自然科学基金面上项目(No.51377132)
关键词
小波变换
电力
热线预警
盲检测
特征提取
wavelet transform
power
hotline early warning
blind detection
feature extraction
