基于矩阵铅笔和泰勒最小二乘法的动态相量估计

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI:10.1109/I2MTC43012.2020.9128420

Jian Song, He Wen

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引用次数: 2

摘要

本文提出了一种基于矩阵铅笔的泰勒最小二乘法(TLSMP)，其中使用了二阶泰勒多项式。由于矩阵铅笔算法对噪声信号的估计比proony方法有更好的性能，所以采用了矩阵铅笔算法。与Taylor-Prony方法相比，所提出的TLSMP方法能够以更高的精度估计相量的动态。对所提出的方法进行了数学推导和解释。根据IEEE C37.118.1-2011标准对TLSMP的有效性进行了仿真评估。

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Dynamic Phasor Estimations By Using Matrix Pencil and Taylor Least Squares Method

This paper proposes a Taylor least square method based on the matrix pencil (TLSMP), where the second-order Taylor polynomial is used. The matrix pencil algorithm is adopted because it has much better performance than the Prony method for the estimation of noisy signal. Compared with the Taylor-Prony method, the proposed TLSMP can estimate the dynamic of the phasor with higher accuracy. The proposed method is deduced and explained mathematically. The effectiveness of the TLSMP is evaluated by simulation according to the standard IEEE C37.118.1-2011.

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2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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