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电力谐波动态监测系统的研究与设计
引用本文:唐霄,危韧勇. 电力谐波动态监测系统的研究与设计[J]. 电力系统通信, 2007, 28(8): 61-63
作者姓名:唐霄  危韧勇
作者单位:中南大学,信息科学与工程学院,湖南,长沙,410075
摘    要:针对目前常见的检测方法中控制电路过于复杂的问题,文章提出采用以自适应噪声对消技术的神经元电力谐波动态检测方案。采用最小均方(LMS)算法,获得所需的检测谐波信号,利用高精度微型互感器实现信号采集,由DSP实现对电力谐波的动态检测,利用CAN总线实现数据的高速上传给上位机,完成谐波数据的综合处理。该系统已成功地在河南中孚铝厂投入运行,检测精度达到国家标准,具有较高的推广价值。

关 键 词:神经元  实时检测  数字信号处理  CAN总线
文章编号:1005-7641(2007)08-0061-03
修稿时间:2006-12-292007-02-08

Research and design of real-time detecting system for electric harmonics
TANG Xiao,WEI Ren-yong. Research and design of real-time detecting system for electric harmonics[J]. Telecommunications for Electric Power System, 2007, 28(8): 61-63
Authors:TANG Xiao  WEI Ren-yong
Affiliation:School of Information Science and Engineering, Central South University, Changsha 410075, China
Abstract:The ordinary control circuits for detecting electric harmonics are complicated.To solve this problem,the paper introduces a detection scheme using self-adaptive noise cancellation neurons.In this method,the Least Mean Square(LMS) algorithm is adopted to obtain detection signal,the high-precision micro-transducer is used to sample signal,DSP is used to detect the harmonics,CAN bus is used to transmit data,and PC is used to process the data.This system has been put into use successfully in Zhongfu Aluminum Plant in Henan province,and its detecting precision meets the national standard.
Keywords:neuron  real-time detecting  Digital Signal Processing(DSP)  CAN bus
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