基于LabVIEW和Matlab综合平台的电能质量监测系统研究

摘要

针对电能质量监测设备采集精度越来越高,数据量的不断增大,分析指标越来越多,基于硬件平台的数据分析处理能力有限,实时性受到限制等问题,设计了以PC机为载体的基于LabVIEW和Matlab综合软件数据处理仪器平台,通过对电能质量的基本参量计算,采用快速傅里叶变换对稳态谐波参量计算,采用小波变换对扰动进行定位,BP神经网络对扰动进行识别,完成电能质量数据的实时分析和处理.经测试,系统稳定,可分析指标多,计算速度快,能力强,综合性较好.%Most of our present power quality analyzers based on hardware have some problems such as poor processing capacity and real-time and other issues with the growing of high precision data acquisition, increasing of data amount and analysis indicators. The paper designed a data processing instrument platform based on the integrated software LabVIEW and Matlab. The system can analyze and process the power quality data in real-time with the calculation of basic parameters of power quality, using the fast Fourier transform calculation of the steady-state harmonic parameters and wavelet transform to locate the disturbance, BP neural network to identify disturbance. Experiments have proved the stability, extensive indicators, fast calculation capability, and better integrated of the system.