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作 者:郑胜峰[1] 林烨[1] 赵秀芝[1] 戚伟业 ZHENG Shengfeng;LIN Ye;ZHAO Xiuzhi;QI Weiye(Zhejiang Industry&Trade Vocational College,Wenzhou 325003,China)
出 处:《浙江工贸职业技术学院学报》2023年第3期59-61,80,共4页Journal of Zhejiang Industry & Trade Vocational College
基 金:浙江工贸职业技术学院2022年度校级科研创新团队(cx202203)。
摘 要:通过对原始采样的电力信号进行多重自相关运算,对自相关函数进行数据延拓并进行自相关运算,解决了相关运算数据截断问题,有效地抑制了叠加在基波频率上的白噪声、谐波及直流干扰,与传统过零频率估计原理结合,有效地解决了传统算法对噪声、谐波及直流干扰的敏感性问题,分析了量化位数、采样点数、谐波分量、直流干扰、信噪比对实时测量算法的影响,实验结果表明本文算法在精度和实时性方面完全可以满足电力系统测频要求,可以至多在一个基波周期内完成电力系统频率的实时测量。By performing multiple autocorrelation operations on the original sampled power signal,data extension and then autocorrelation operations on the autocorrelation function are conducted.The result shows that the problem of data truncation of the correlation operation is solved,and the white noise,harmonic and DC interference superimposed on the fundamental frequency is effectively suppressed.Combined with the traditional zero-crossing frequency estimation principle,the sensitivity of the traditional algorithm to noise,harmonics and DC interference is effectively solved,and the influence of quantization bits,sampling points,harmonic components,DC interference and SNR on the real-time measurement algorithm is analyzed.The experimental results show that the proposed algorithm can fully meet the requirements of power system frequency measurement in terms of accuracy and real-time performance.The real-time measurement of power system frequency can be completed in at most one fundamental cycle.
分 类 号:TM744[电气工程—电力系统及自动化]
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