SST在铁磁谐振过电压模态参数辨识中的应用

Application of SST for Extracting Model Parameters of Ferroresonance Over-voltages in Power Systems

铁磁谐振过电压幅值大,易对电网造成破坏性冲击,为此将同步挤压小波变换(synchrosqueezing wavelet transform,SST)运用于铁磁谐振过电压模态识别中。首先应用SST和相关系数法提取出铁磁谐振过电压的主模态量;然后对主模态量进行希尔伯特变换计算其瞬时频率、瞬时幅值,实现主模态量的类型、幅值及其激发时刻的准确描述,实现铁磁谐振过电压的有效识别。仿真及实例分析结果表明该方法的可行性、有效性和准确性,为铁磁谐振过电压的有效治理奠定基础。

In view of that large ferroresonance over-voltage amplitude is liable to cause destructive impact on the power grid,this paper applies synchrosqueezing wavelet transform(SST)in identifying ferroresonance over-voltage modal.It firstly uses SST and the correlation coefficient method to extract the main modal function of the ferroresonance over-voltage,and then by using Hilbert transform,it calculates instantaneous frequency and instantaneous amplitude,so as to realize exact description of the type,amplitude and induced time of the main modal function as well as effective identification of the ferroresonance over-voltage.Simulation and example analysis indicate this method is feasible,effective and accurate in control of the ferroresonance over-voltage.