摘要
基于Matlab/Simulink建立同步发电机系统在励磁电压发生扰动时的电气模型,并通过Park变换,快速Fourier分解(FFT)得到同步发电机实用参数辨识所需d轴和q轴电压、电流的基频分量和励磁电压等电气数据。然后根据汽轮同步发电机六阶电气模型以及对应的电气微分方程进行辨识,微分方程的求解采用改进Euler法。在寻优辨识中先计算稳态参数,从而减少待求参数的维数,再利用改进的粒子群算法寻优辨识暂态参数。仿真算例的计算结果验证了该方法的正确性。
An electrical model of synchronous generator is established by Matlab/Simulink with exciting voltage of the generator fluctuated. By using the Park transformation and fast Fourier transformation （FFT）, the electrical data including the fundamental component of currents and voltages of direct axis and quadrature axis, and the exciting voltage are obtained, which are used for identifying parameters. Further, according to the six-order electrical generator model and the corresponding differential equations, the synchronous generator parameters are identified. The differential equations are solved by the improved Euler method. During the identification, the steady state parameters are calculated firstly for decreasing the dimension of unknown parameters, and then the transient parameters are obtained by using the improved particle swarm optimization （PSO）. The correctness of the method is proved by the simulation identification result.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2012年第19期116-120,共5页
Power System Protection and Control
关键词
同步发电机
参数辨识
励磁电压
粒子群算法
改进Euler法
synchronous generator
parameter identification
exciting voltage
particle swarm optimization
improved Euler method
