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A Comparative Analysis of Real-Time Algorithms for Power Signal Decomposition in Multiple Synchronous Reference Frames

机译:多个同步参考帧中功率信号分解实时算法的比较分析

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摘要

The monitoring and rejection of voltage and current harmonics in power electronics applications such as power quality conditioners or distributed generation systems require correct estimation algorithms especially if the harmonic amplitudes are time varying. Power signal decomposition in multiple synchronous rotating reference frames (MSRFs) is considered one of the best solutions. The most commonly employed implementations of this signal transformation are based on phase-locked loops (PLLs), recursive discrete Fourier transform (RDFT), or discrete Kalman filtering (DKF). In this paper, a rigorous analysis of the performance of these implementations has been carried out. Complete tests have been performed to evaluate the computational burden, the frequency domain response, and the tolerance to low frequency amplitude variations. The results make it possible to select the proper method depending on the requirements of each application.
机译:电力电子应用(例如电能质量调节器或分布式发电系统)中电压和电流谐波的监视和抑制要求正确的估算算法,尤其是在谐波幅度随时间变化的情况下。多个同步旋转参考帧(MSRF)中的功率信号分解被认为是最佳解决方案之一。此信号变换的最常用实现是基于锁相环(PLL),递归离散傅里叶变换(RDFT)或离散卡尔曼滤波(DKF)。在本文中,对这些实现的性能进行了严格的分析。已经进行了完整的测试,以评估计算负担,频域响应以及对低频幅度变化的容忍度。结果使得可以根据每个应用程序的要求选择合适的方法。

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