【摘要】 以配电网的大数据为基础,以傅里叶算法为手段,应用CCStudio3.1为操作平台,采用高速DSP为核心建立电能质量检测系统,最终实现了电能质量检测.本文首先对改善电能质量的意义做了详细的介绍,再对配电网的大数据进行收集,然后利用傅里叶算法对收集到的数据进行快速傅里叶变换法,得到想要的数据类型,再以CCStudio3.1为操作平台采用高速DSP技术对信号采样频率以及大量的数据信号进行处理,快速完成测量任务,最后利用matlab中IQmath的应用与调试对得到的不同数据进行对比分析,达到检测精度小于1%的相对误差,并且减少频谱泄漏,改善电能质量,满足实际的需要.更多还原

【Abstract】 Based on the big data of the distribution network and Fourier method,using CCStudio3.1 as the operating platform,and taking high-speed DSP as the core,we establish a power quality detection system,which finally realizes the detection of power quality. This paper first gives a detailed introduction of the significance of improving the power quality of the distribution network,and then data are collected,and then the Fourier method is used to collect the data of the fast Fourier transform method,the desired data type,and then CCStudio3.1 is used as the operating platform for signal processing and data signal of sampling frequency using high-speed DSP technology,rapid measurement tasks. Finally the application and debugging of MATLAB in IQmath are used to make a comparative analysis of different data obtained to reach the relative error whose accuracy is less than 1%,reduce the spectrum leakage,improve power quality and meet the actual needs.更多还原