基于小波模型的同步调相机转子故障诊断

随着新能源的并网与特高压直流输电的发展，电网对无功调节的要求也逐步提高，因此大型调相机再次被投入使用。为了提高调相机运行的稳定性，针对同步电机转子绕组匝间短路故障特征信号不易提取的问题，文中在dq坐标系下利用派克方程推导出了同步调相机励磁电流与转子绕组短路匝数之间的数值关系，并通过求解调相机微分方程仿真得出转子绕组正常与不同短路状态下的励磁电流。然后设计小波模型构建非线性映射，提取出故障信号的特征能量值，输入径向基函数神经网络进行故障诊断。最后利用Matlab仿真证明所提方法可以有效检测调相机转子绕组匝间短路故障程度。

Diagnosis of rotor fault in synchronous condenser based on wavelet model

With the application of new energy in grid-connected system and the development of ultra-high voltage direct current transmission,the grid''s requirements for reactive power regulation have gradually increased. Considering that,large-scale synchronous condensers have been put into use again. However,it is difficult to extract the characteristic signal of the inter-turn short-circuit fault in rotor windings of synchronous motors. In order to improve the stability of condensers,a certain relationship between the field current and the number of turns is derived using the Parker equation in the dq coordinate system,and the differential equation simulates the excitation current. Then the characteristic energy value of the fault signal is extracted through wavelet packet decomposition and reconstruction,and it is input to the radial basis function neural network for fault diagnosis. It is proved by Matlab simulation that the diagnostic method proposed in this paper can effectively detect the degree of short-circuit faults among the turns of the rotor in condensers.