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Wide Frequency Range Adaptive Phasor and Frequency PMU Algorithms

机译:宽频率范围自适应相量和频率PMU算法

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摘要

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.
机译:本文讨论了开发和测试比IEEE Std C37.118-1更宽的线性范围的频率自适应PMU算法。该目标是通过三个不同的概念来实现的,其中包括稳健的最新设计方法:1)FIR带通滤波,2)扩展卡尔曼滤波(EKF)和3)具有低FIR的离散傅立叶变换(DFT)解调通过平滑。虽然基于FIR的PMU是线性相位,在相位或幅度阶跃响应中均不存在过冲,但自适应EKF PMU的计算机处理能力更高,但可以减少群时延并更好地抑制带外干扰,但以相位为代价超调的阶跃响应。详细评估了各种PMU的频率测量性能。事实证明,FIR PMU最适合满足Std C37-118-1指标,但在谐波变化的情况下,其性能优于EKF。对三个最新的商用PMU模型的测试结果进一步证实,满足标准C37-118-1的PMU算法在动态条件下的行为可能完全不同。

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