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A Clarke Transformation-Based DFT Phasor and Frequency Algorithm for Wide Frequency Range
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DOI：10.1109/TSG.2016.2544947.png)
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摘要
En 中文
Despite its wide applications in power grid monitoring, the classic discrete Fourier transform ( DFT)-based synchrophasor estimation algorithms suffer from significant errors when the power system operates under off-nominal frequency conditions. This phenomenon is caused by spectral leakage of DFT and becomes even more severe for single-phase synchrophasor estimation. To address this issue, a theory to eliminate the spectral leakage-caused errors is proposed and a Clarke transformation-based DFT synchrophasor estimation algorithm is proposed to implement the theory in this paper. The Clarke transformation constructs a second signal that has exactly 90. phase angle difference from the original single-phase input signal and helps eliminate the estimation errors for a wide frequency range. The proposed algorithm is tested under the conditions required in the phasor measurement unit standard C37.118.1-2011 and C37.118.1-2014, as well as the harmonic and noise conditions not required in the standard to verify its performance. More importantly, the idea of using Clarke transformation can be used for other DFT-based synchrophasor algorithms in order to achieve higher synchrophasor measurement accuracy under dynamic conditions. An example is presented at last to demonstrate the expandability of the proposed idea.
Keyword:
Clarke transformation
discrete Fourier transform (DFT)
frequency disturbance recorder (FDR)
frequency estimation
phasor measurement unit (PMU)
phasor estimation
rate of change of frequency estimation
synchrophasor
wide frequency
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9.8
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5.7K
被引数:
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引用论文
Development and implementation of a synchrophasor estimator capable of measurements under dynamic conditions能够在动态条件下进行测量的同步相量估计器的开发和实现
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