基于稳定图算法的发电机转动惯量参数辨识

Parameter Identification for Generator Rotational Inertia Based on Stabilization Diagram Algorithm

为了精确检测PSS试验中发电机转动惯量参数,提出了一种小波变换和稳定图相结合的新算法。运用小波变换对小干扰扰动下的功率信号进行消噪处理。运用稳定图算法确定预处理后的功率信号分量的频率和阶数,根据功率信号频率和阶数与转动惯量之间的代数关系实现转动惯量参数的辨识。仿真结果表明,与理论算法相比,方法采用的需要收集数据较少,且与实际功率波形较为接近。仿真试验结果验证了方法的有效性。

For the purpose of accurate measurement of the rotational inertia of the generator in the PSS test,a new algorithm based on wavelet transform combined with stabilization diagram was proposed.Wavelet transform was used to de-noise the power signal under small disturbance.The frequency and order of the pre-treated power signal component were determined by using the stabilization diagram method.Then,identification of rotational inertia parameter was realized according to the algebraic relation between the frequency and order of the power signal and rotational inertia.Simulation results showed that,compared with the traditional algorithm,the proposed scheme required less data collection and was more close to the actual power waveform.The results of the simulation test verified the effectiveness of the approach presented in this paper.