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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 被引量:11

A DIGITAL SIGNAL PROCESSOR BASED ALGORITHM TO DETECT SHORT-TERM POWER QUALITY DISTURBANCE
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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MicrosoftVisualC++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。 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.
机构地区 华北电力大学
出处 《电网技术》 EI CSCD 北大核心 2004年第20期68-71,共4页 Power System Technology
关键词 电能质量扰动 电能质量检测 小波分析方法 数字信号处理器(DSP) Matlab仿真 DSP 正确性 检测算法 C++6.0 C语言编程 Algorithms C (programming language) Computer simulation Electric power systems Problem solving Wavelet transforms
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