基于GDFT的改进Cooley-Tukey算法PMU性能评价

M. Abbaci, M. O. Zmirli
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引用次数: 0

摘要

近年来,世界范围内的多次停电事故对电网电压源的可靠性产生了影响。这是由于两个事件,首先是电力市场的自由化,跨境流动增加,其次是风力涡轮机和光伏电池等可再生能源的渗透率增加。同步相量技术是提高电网分析和保护水平的重要工具。本课题包括改进同步相量的性能,用于监测大型电网。此外,还讨论了一种新的相量估计算法的特点。本文提出了一种基于广义离散傅里叶变换(GDFT)的改进Cooley-Tukey快速傅里叶变换(CTFFT)算法的相量估计新方法。为了验证所提出的方法,将仿真结果与离散傅立叶变换(DFT)估计算法进行了比较。
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Performance Evaluation of PMU using Modified Cooley-Tukey Algorithm Based on GDFT
In recent years, many blackouts around the world have had an effect on the reliability of voltage sources in power grids. This is due to two events, firstly the liberalization of electricity markets with an increase in cross-border flows, secondly, the increasing penetration rate of renewable sources such as wind turbines and photovoltaic cells. An important tool for improving the analysis and protection of the electricity grid is the technology of synchrophasor. The subject consists of improving the performance of synchrophasor for monitoring large electricity networks. In addition, it deals with the characteristics of a new phasor estimation algorithm. This paper presents a new phasor estimation method using the modified Cooley-Tukey Fast Fourier Transform (CTFFT) algorithm based on Generalized Discrete Fourier Transform (GDFT). To validate the proposed method, the obtained simulation results are compared with the Discrete Fourier Transform (DFT) estimation algorithm.
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