Abstract
Spectral leakage caused by synchronous error in a nonsynchronous sampling system is an important cause that reduces the accuracy of spectral analysis and harmonic measurement. This paper presents a software sampling frequency adaptive algorithm that can obtain the actual signal frequency more accurately, and then adjusts sampling interval base on the frequency calculated by software algorithm and modifies sampling frequency adaptively. It can reduce synchronous error and impact of spectral leakage; thereby improving the accuracy of spectral analysis and harmonic measurement for power system signal where frequency changes slowly. This algorithm has high precision just like the simulations show, and it can be a practical method in power system harmonic analysis since it can be implemented easily.
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References
Davis E. J., Emanuel A. E., Harmonic pollution metering: theoretical considerations, IEEE Transactions on Power Delivery, 2000, 15(1): 19–23
Xiao Yan-hong, A survey on measuring method for harmonics in power system, Power System Technology, 2002, 26(6): 61–64 (in Chinese)
Xi Jiang-tao, A new algorithm for improving the accuracy of periodic signal analysis, IEEE Trans on IM, 1996, 8: 827–830
Jain V. K., Collins W. L., Davis D. C., High-accuracy analog measurements via interpolated FFT, IEEE Trans on Instrum Meas, 1979, 28(6): 113–122
Grandke T., Interpolation algorithms for discrete Fourier transformations of weighted signals, IEEE Trans on Instrum Meas, 1983, 32(6): 350–355
Zhang Jie-qiu, Liang Chang-hong, Chen Yan-pu, Power system harmonic theory analysis and algorithm based on convolution windows, Proceedings of the CSEE, 2004, 24(11): 48–52 (in Chinese)
Pan wen, Qian Yu-shou, Zhou E., Power harmonics measurement based on windows and interpolated FFT (I) study of windows, Transactions of China Electrotechnical Society, 1994, (1): 50–54 (in Chinese)
Harris F. J., On the use of windows for harmonic analysis with the discrete Fourier transformation, Proc IEEE, 1978, 66(1): 51–83
Dai Jun-guang, An adaptive sampling algorithm for periodic signal measurement, Acta Electronica Sinica, 1998, 26(8): 11–13, 42 (in Chinese)
Zhang Zuo-mei, Wei Xue-ye, An adaptive arithmetic for reducing spectral leakage, Journal of Northern Jiaotong University, 2000, 24(5): 58–59, 62 (in Chinese)
Zhang Fu-sheng, GENG Zhong-xing, GE Yao-zhong, FFT algorithm with high accuracy for harmonic analysis in power system, Proceedings of the CSEE, 1999, 19(3): 63–66 (in Chinese)
Shen Guo-feng, Wang Qi, Zhang Shi-ping, Wang Chuan-tong, Error analysis on non-uniformly sampling of power system AC Parameter measurement, Chinese Journal of Scientific Instrument, 2003, 24(4) supplement: 512–514 (in Chinese)
Wang Fei, Mi Zeng-qiang, Experimental research on harmonic protection of reactive power compensation device for low voltage line, Journal of North China Electric Power University, 2005, 32(4): 16–19 (in Chinese)
Wang Fei, Pan Li-dong, A new type low-voltage reactive power compensate device based on data bus, Low Voltage Apparatus, 2003(5): 43–46 (in Chinese)
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Translated from Journal of North China Electric Power University, 2005, 32(6): 5–8 (in Chinese)
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Pan, Ld., Wang, F. A software sampling frequency adaptive algorithm for reducing spectral leakage. Front. Electr. Electron. Eng. China 1, 375–379 (2006). https://doi.org/10.1007/s11460-006-0072-6
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DOI: https://doi.org/10.1007/s11460-006-0072-6