Power System Frequency and Amplitude Estimation Using Variational Mode Decomposition and Chebfun Approximation System

N. Mohan, Soman K.P.
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引用次数: 12

Abstract

The accurate estimation of power system frequency and amplitude is essential for power system monitoring, stability, control, and protection. This work proposes a novel approach for power system frequency and amplitude estimation based on variational mode decomposition (VMD) algorithm and Cheb-function (Chebfun) approximation system. In this work, the spectral information of power signals is extracted using VMD as sub-signals or modes. Each mode is further interpolated by Chebyshev polynomials in continuous domain using Chebfun system. The instantaneous frequency and amplitude are estimated based on zero crossings and local extrema locations of the continuous function. The robustness of the approach is evaluated on various power system scenarios and the results are compared with other existing methods. The promising results suggest that the proposed approach can be used as an efficient candidate for power system frequency and amplitude estimation.
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基于变分模态分解和Chebfun近似系统的电力系统频率和幅值估计
电力系统频率和幅值的准确估计对电力系统的监测、稳定、控制和保护至关重要。本文提出了一种基于变分模态分解(VMD)算法和cheb函数(Chebfun)近似系统的电力系统频率和幅度估计新方法。在本工作中,利用VMD作为子信号或模提取功率信号的频谱信息。利用Chebfun系统在连续域内对每个模态进行切比雪夫多项式插值。根据连续函数的零点交叉点和局部极值位置估计瞬时频率和振幅。在各种电力系统场景下对该方法的鲁棒性进行了评估,并将结果与其他现有方法进行了比较。结果表明,该方法可作为电力系统频率和幅值估计的有效候选方法。
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