Wavelet-demodulation-method based out of step detection and damping estimation in Japan campus warns

Khairudin, Y. Qudaih, Y. Mitani, Masayuki Watanabe, T. Kerdphol
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引用次数: 4

Abstract

Some previous research based on Fast Fourier Transform (FFT) estimated the damping ratio and frequency oscillation from Eigen value of the matrix associated to a Single Machine Infinite Bus (SMIB) model. Damping constant can be calculated for every 20 minutes cycles. However, it failed to explain how to calculate the damping ratio without associating the system to a SMIB Model. Furthermore, there was no way to verify the validity of the analysis since no network parameters could be included in the calculation. This paper promotes a novel approach in analyzing Phasor Measurement Unit (PMU) data to identify out of step phenomena and the calculation of damping ratio by applying a Continuous Wavelet Transform (CWT) algorithm. A linear regression method is performed to extract the damping ratio from the wave skeleton. The validity of the method is verified by comparing the calculated and real data from mathematically generated signals with known parameters.
基于非步进检测和阻尼估计的小波解调方法在日本校园预警中的应用
以往一些基于快速傅里叶变换(FFT)的研究从与单机无限总线(SMIB)模型相关的矩阵的本征值估计阻尼比和频率振荡。可以计算每20分钟周期的阻尼常数。然而,它未能解释如何在不将系统与SMIB模型相关联的情况下计算阻尼比。此外,由于计算中没有网络参数,因此无法验证分析的有效性。本文提出了一种利用连续小波变换(CWT)算法对相量测量单元(PMU)数据进行失步现象识别和阻尼比计算的新方法。采用线性回归方法从波浪骨架中提取阻尼比。通过对已知参数的数学生成信号的计算数据与实际数据进行比较,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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