基于db4小波变换和双ARM Cortex-M的电能质量分析系统  

Power Quality Analysis System Based on db4 Wavelet Transform and Dual ARM Cortex-M

作　　者：黄振威[1] 郑寿森[1] 祁新梅[1] 沈海滨[1] 

机构地区：[1]中山大学物理科学与工程技术学院,广州510275

出　　处：《电测与仪表》2013年第1期83-88,共6页Electrical Measurement & Instrumentation

基　　金：广东省自然科学基金资助项目(8451027501001493)

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。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.

关 键 词：暂态电能质量 ARM Cortex-M 小波变换 

分 类 号：TM76[电气工程—电力系统及自动化]