基于db4小波变换和双ARMCortex-M的电能质量分析系统.pdfVIP

学兔兔 总第50卷 第565期 电测与仪表 V0I．5O No．565 2013年 第1期 Electricai Measurement Instrunlentation Jan．2013 基于db4小波变换和双ARM Cortex—M 的电能质量分析系统术 黄振威，郑寿森，祁新梅，沈海滨 (中山大学物理科学与工程技术学院，广州510275) 摘要：研究并开发了基于双ARM Cortex—M平台、利用小波变换检测暂态扰动电信号的电能质量分析系统原 型。首先利用Mallat算法对电能信号进行离散小波分解，计算并比较高频区间的模极大值，进而确定扰动发生 时间点并进行录波。在双ARM Cortex—M硬件平台上对该检测扰动的算法进行验证，通过电压中断和暂态振 荡两种输入信号模型对系统进行测试，结果表明系统能在2ms内检测到电信号的突变，能准确实时地检测到暂 态扰动出现的时刻。 关键词：暂态电能质量；ARM Cortex—M；小波变换 中图分类号：TM76 文献标识码：B 文章编号：1001—1390(2013)01—0083—06 Power Quality Analysis System Based on db4 Wavelet Transform and Dual ARM Cortex—M HUANG Zhen-wei，ZHENG Shou-sen，QI Xin—mei，SHEN Hai—bin (School of Physics and Engineering，Sun Yat—sen University，Guangzhou 5 1 0275，China) Abstract：This paper studies transient power quality monitoring making use of wavelet transform and develops a proto-- type system based on dual ARM Cortex—M embedded platform to measure abrupt signal changes．The system uses Mallat arithmetic to perform discrete wavelet transform on the power signal，calculates and compares the modulus max— imum in high frequency section，then defines the accurate time when the abrupt changes happens．The disturbance measuring arithmetic is tested and verified on the system under two input modes：abrupt voltage interruption and tran— sient surge disturbance．Result shows the system can detect the change in 2 ms in both cases and proves that the sys— tem is real time and accurate in measuring and analyzing transient power quality． Key words：transient power quality，ARM Cortex—M，wavelet transform 0 引 言 的危害，成为研究热点 ]。 电网污染源的增加及