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作 者:边辉 孙屹岱 BIAN Hui;SUN Yi-dai(Guohua New Energy Co.,Ltd.,Zhangjiakou,Hebei 075000,China)
出 处:《计算技术与自动化》2020年第2期46-49,共4页Computing Technology and Automation
摘 要:风力发电系统输出具有随机性、波动性和间歇性等特点,风力发电系统电压波动较为频繁,电压暂降已成为风力发电系统中最常见的电压波动。针对风力发电系统电压暂降问题,提出了一种基于Hilbet-Huang变换(HHT)检测方法,能够准确、及时地检测到电压暂降。为了解决HHT中经验模态分解(EMD)过程中的端部效应问题,采用了一种自适应的改进波形匹配方法对电压暂降问题进行处理。借助HHT中各固有模态函数(IMF)的电压幅值和频率两个参数反映电压波动,并通过Matlab仿真验证了该方法的实用性。In view of the random,fluctuating and intermittent characteristics of the wind power system output,the voltage fluctuation of the wind power system is relatively frequent,and the voltage sag has become the most common voltage fluctuation in the wind power system.Aiming at the problem of voltage sag in wind power generation system,a detection method based on Hilbert-Huang transform(HHT)is proposed,which can accurately and timely detect the voltage sag.In order to solve the end effect problem in the process of empirical mode decomposition(EMD)in HHT,an adaptive and improved waveform matching method is proposed to deal with the voltage sag problem.The voltage amplitude and frequency of each inherent modal function(IMF)in HHT are used to reflect the voltage fluctuation,and the practicality of the method is verified by Matlab simulation.
关 键 词:HILBERT-HUANG变换 风电系统 电压暂降 电压检测
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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