一种监测电力系统频谱分析的新方法

2004 11th International Conference on Harmonics and Quality of Power (IEEE Cat. No.04EX951) Pub Date : 2004-09-12 DOI:10.1109/ICHQP.2004.1409363

Moises Vidal Ribeiro, S. Mitra, J. Romano

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引用次数: 8

摘要

本文提出了一种结合自适应和非自适应陷波滤波器、多层感知器神经网络和扭曲离散傅立叶变换(WDFT)来估计电力系统中基频和谐波分量的幅值、频率和相位的新方法。仿真结果表明，只需1.25个周期的基元分量就足以提供较小的频率、相位和幅度误差估计。

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A novel approach for spectral analysis of monitored power systems

This paper presents a novel approach that combines the adaptive and nonadaptive notch filters, multilayer perceptron neural network, and warped discrete Fourier transform (WDFT) to estimate amplitudes, frequencies and phases of the fundamental and harmonic components in power systems. Simulation results show that only 1.25 cycles of the fundamental component are enough to provide small frequency, phase and amplitude error estimations.

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来源期刊

2004 11th International Conference on Harmonics and Quality of Power (IEEE Cat. No.04EX951)

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