Phasor estimates produced by the Taylor-based weighted least square filter (TWLS) can be erroneous if the reference frequency is not close to its real value. On the other hand, online calculation of the TWLS coefficients leads to the significantly increased computational cost. In this paper, a low complexity algorithm is proposed, that aims to enhance the phasor and frequency estimation at off-nominal frequencies. The proposed algorithm utilizes a symmetric TWLS (STWLS) filter to iteratively estimate the parameters of the positive image of the fundamental component. Due to the symmetry in the STWLS frequency response, an estimation accuracy at off-nominal frequencies can be significantly improved by adjusting the filter center frequency, which slightly affects the computational complexity. In a variety of scenarios, simulation results confirm the favorable performance of the proposed algorithm over the TWLS.

中文翻译：

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对称泰勒加权最小二乘滤波器的动态相量估计

如果参考频率不接近其实际值，则由基于泰勒的加权最小二乘滤波器 (TWLS) 产生的相量估计可能是错误的。另一方面，TWLS 系数的在线计算导致计算成本显着增加。在本文中，提出了一种低复杂度算法，旨在增强非标称频率下的相量和频率估计。所提出的算法利用对称TWLS (STWLS) 滤波器来迭代估计基本分量的正图像的参数。由于 STWLS 频率响应的对称性，通过调整滤波器中心频率可以显着提高非标称频率下的估计精度，这对计算复杂度有轻微影响。在各种场景中，