摘要
针对风力发电并网对电网电能质量产生影响的问题,深入分析风力发电并网特点及故障特征,提出一种采用谐波小波降噪与时频联合分析相结合的风力发电并网电压故障信号特征提取方法,该方法解决了采用传统的傅里叶变换无法对非平稳电压故障测试信号进行分析处理的问题,充分利用谐波小波降噪技术对强噪声背景下的非平稳电压故障测试信号进行提纯降噪处理,再对降噪后的纯净信号进行时频联合分析,利用时频联合分析结果对风力发电并网电压故障进行精确定位,从而为故障穿越提供必要的参考决策,最后通过仿真和实验验证了该方法的有效性。
Aiming at solve the problem of the power quality influence by wind power integration,the integration characteristics and fault characteristics of wind power station is the thorough analysis,a novel method is proposed in this paper,the method makes combination with harmonic wavelet noise reduction and time-frequency joint analysis,and it is used for voltage fault signal feature extraction of wind power integration,this method has solved the problems that the traditional Fourier transform can′t process the fault testing signal with non-stationary character.The method makes full use of harmonic wavelet noise reduction technology for purification of non-stationary voltage fault test signal in strong noise,and then the time-frequency combined analysis is used to accurately locate the voltage fault of wind power integration,the method is able to provide necessary reference decision for fault crossing.Finally,the effectiveness of the method is verified by simulation and experiment.
引文
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