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Wide Frequency Range Adaptive Phasor and Frequency PMU Algorithms
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DOI：10.1109/TSG.2013.2264536.png)
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摘要
En 中文
The paper deals with developing and testing frequency-adaptive PMU algorithms with wider linearity range than specified in IEEE Std C37.118-1. This goal is achieved by means of three different concepts encompassing robust state-of-the-art design approaches: 1) FIR bandpass filtering, 2) extended Kalman filtering (EKF), and 3) discrete Fourier transform (DFT) demodulation with FIR low-pass smoothing. While FIR-based PMUs are linear phase with no overshoot in either phase or amplitude step responses, the adaptive EKF PMU is more computer-intensive but allows for a reduced group delay and better out-of-band interference rejection at the cost of a phase step response with overshoot. Frequency measurement performances of the various PMUs are assessed in detail. It turned out that FIR PMUs are best for meeting Std C37-118-1 metrics but they are outperformed by EKF under changing harmonics. Test results on three recent commercial PMU models further confirm that PMU algorithms meeting standard C37-118-1 can behave quite differently under dynamic conditions.
Keyword:
Bandpass filtering
discrete fourier transform (DFT)
frequency error (FE)
Kalman filtering
phasor measurement unit (PMU)
synchrophasor
total vector error (TVE)
wide-area measurement system (WAMS)
wide-area protection and control (WAPC)
wide-area PSS (WAPSS)
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9.8
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5.7K
被引数:
4.3W
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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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Performance of demodulation-based frequency measurement algorithms used in typical PMUs典型pmu中基于解调的频率测量算法的性能
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