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基于数字信号处理器的短时电能质量扰动检测算法
引用本文:潘洪湘,宗伟,刘连光. 基于数字信号处理器的短时电能质量扰动检测算法[J]. 电网技术, 2004, 28(20): 68-71
作者姓名:潘洪湘  宗伟  刘连光
作者单位:华北电力大学,北京市,昌平区,102206;华北电力大学,北京市,昌平区,102206;华北电力大学,北京市,昌平区,102206
摘    要:通过比较几种短时电能质量扰动检测方法,指出了小波分析方法所具有的优势.利用多孔算法对小波变换进行C语言编程,并运用Microsoft Visual C 6.0和Matlab仿真验证了算法和程序的正确性,为以数字信号处理器(DSP)芯片作为运算核心的检测装置的研制提供了可实现条件,还指出了利用DSP研制短时电能质量检测装置所应解决的其他问题.

关 键 词:电能质量  数字信号处理器(DSP)  小波分析  多孔算法  电力系统
文章编号:1000-3673(2004)20-0068-04
修稿时间:2004-09-09

A DIGITAL SIGNAL PROCESSOR BASED ALGORITHM TO DETECT SHORT-TERM POWER QUALITY DISTURBANCE
PAN Hong-xiang,ZONG Wei,LIU Lian-guang. A DIGITAL SIGNAL PROCESSOR BASED ALGORITHM TO DETECT SHORT-TERM POWER QUALITY DISTURBANCE[J]. Power System Technology, 2004, 28(20): 68-71
Authors:PAN Hong-xiang  ZONG Wei  LIU Lian-guang
Abstract:By means of comparing several short-term power quality disturbance detection methods, the superiority of wavelet analysis method is pointed out. Using Lacunaris algorithm the wavelet transform is programmed by programming language C, the correctness of the algorithm and program is verified by Microsoft Visual C++ 6.0 and Matlab simulation, so a realizable condition is provided for the development of power quality detection device which adopts the digital signal processor (DSP) as its operation kernel. Other problems to be solved in the development of short-term power quality detection device by DSP are also pointed out.
Keywords:Power quality  Digital signal processor (DSP)  Wavelet analysis method  Lacunaris algorithm  Power system
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