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作 者:赵庆生[1] 谢运华[1] 郭贺宏 张学军[3] ZHAO Qingsheng XIE Yunhua GUO Hehong ZHANG Xuejun(Shanxi Key Laboratory of Power System Operation and Control, Taiyuan University of Technology, Taiyuan 030024, China State Grid Linfen Power Supply Company, Linfen 041000, China Department of Electric Power Engineering, Shanxi University, Taiyuan 030006, China)
机构地区:[1]太原理工大学电力系统运行与控制山西省重点实验室,太原030024 [2]国网临汾供电公司,临汾041000 [3]山西大学电力工程系,太原030006
出 处:《电力系统及其自动化学报》2017年第2期21-26,共6页Proceedings of the CSU-EPSA
基 金:国家自然科学青年基金资助项目(51505317);山西省自然科学基金资助项目(2015011057)
摘 要:提出了一种基于带通滤波、过零检测和最小二乘非线性曲线拟合的新型离散傅里叶变换DFT(discreteFourier transform)频率算法。首先将原始信号经过带通滤波器滤波后,用过零检测算法计算其频率并将此值作为最小二乘非线性曲线拟合参考频率;之后对拟合后的正弦曲线进行重采样得到重采样数据;再对重采样数据运用DFT算法计算频率。仿真实验结果表明,所提算法能抑制或消除噪声以及频率波动对频率同步测量的影响,提高了频率测量精度。In this paper, a new discrete Fourier transform (DFT)frequency algorithm is proposed based on band pass fil- tering, zero crossing detection and least square nonlinear curve fitting. First, the original signal is filtered by a band pass filter, and zero crossing detection is used to calculate the frequency value of filtered signal, which is adopted as the reference frequency of least square nonlinear curve fitting. Second, the fitted sine curve is resampled, and DFT algorithm is used to calculate the frequency of resampled data. The simulation results show that the proposed algorithm can restrain or eliminate the effect of noise and frequency fluctuation on the frequency synchronization measurement, which improves the accuracy of frequency measurement.
关 键 词:过零检测 最小二乘非线性曲线拟合 离散傅里叶变换 频率测量 带通滤波
分 类 号:TM711[电气工程—电力系统及自动化]
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