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消除傅氏算法中衰减非周期分量的方法在信号频率偏离额定值时的特性研究

Study of the characteristics of removing dc offset methods in fourier algorithm when signal has fundamental frequency deviation

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【作者】 张艳霞刘天绪杨钢

【Author】 Zhang Yan xia 1, Liu Tian xu 1, YANG Gang 2 (1.School of Electric Engineering and Automation,Tianjin University, Tianjin 300072, China; 2.Tianjin Electric Power Company, Tianjin 300143, China)

【机构】 天津大学电气工程与自动化学院天津市电力公司 天津300072天津300072天津300143

【摘要】 针对几种消除全波傅立叶算法中衰减非周期分量影响的方法 ,分析研究了它们在信号频率偏离额定值时的特性。研究结果表明 :单纯一次差分法在信号频率偏离额定值时 ,消除衰减非周期分量的特性最好 ;经差分全波傅氏算法求出的基波幅值最接近于实际值。从而为电力系统振荡闭锁过程中判别再故障元件的算法提供了参考依据

【Abstract】 The characteristics of three removing DC offset methods in Fourier algorithms are studied when signal has fundamental frequency deviation. Analytical results show: when signal has fundamental frequency deviation, difference algorithm has better performance of removing DC offset than other methods; and the signal fundamental amplitude calculated by the difference & Fourier algorithm is close to the real value. The work of this paper provides reference basis for the algorithm of measure element of power swing simultaneously with short-circuit fault.

  • 【分类号】TM774
  • 【被引频次】8
  • 【下载频次】217
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