基于改进proony算法和粒子群算法的电力系统暂态信号分析方法

Xuanfang Yang, Jialin Wang
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引用次数: 3

摘要

本文提出了一种电力系统暂态信号分析方法,提高了对谐波、间谐波和衰减直流分量的暂态信号的分析精度。首先,采用多小波法降低噪声,采用差分法去除衰减的直流分量,放大高频分量。然后利用改进的proony算法估计信号的频率分量量及其参数值。最后,在此基础上建立了电力参数优化模型,并采用粒子群算法对模型进行求解。matlab仿真结果表明,该算法精度高,收敛速度快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analysis Method for Power System Transient Signal Based on Improved Prony Algorithm and PSO Algorithm
An analysis method for power system transient signal is proposed in this paper to improve the analysis precision for the transient signal including harmonic, inter-harmonic and decaying DC component. First of all, the multiple wavelet method is adopted to cut down the noise, and the differential algorithm is used to wipe off the decaying DC component whereas to magnify high frequency components. Then the amount of frequency components of the signal and its parameters values are estimated by improved Prony algorithm. Finally, the electric power parameter optimization model is set up based on these estimate, and the PSO algorithm is used to solve the model. The Mat lab simulation results demonstrated that the algorithm achieved high accuracy and rapid convergence.
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