基于实测数据的发电机调速系统参数辨识方法

Simulation Parameter Identification Method for Generator Speed Governor System with Measured Data

结合当前电力企业广泛开展的发电机组参数实测工作,提出一种参数解耦辨识和整体辨识相结合的发电机调速系统启发式参数辨识方法。首先对能够解耦且具有输入输出量测数据的环节进行单独辨识;然后对其他难以解耦和获得输入输出数据的环节,与已辨识参数环节组成一个整体进行整体辨识;最后基于粒子群算法来寻找最优拟合值,即认为是辨识参数的估计值。通过初步应用证明,该方法能够应用于参数实测和模型验证,有助于提高发电机参数辨识效率。

Based on the generator parameters measuring work in power system, a heuristic parameter identification method that combines decoupling parameter identification and overall recognition using measured data for generator speed governor system is proposed in this paper. The proposed method firstly takes individual identification for model links which have input and output measurement data and could be decoupled; then consists of the identified parame- ters and other non-decouple links, and forms a whole parameter identification link, the method uses PSO to find the optimal fitting value, which is estimated as remaining identification parameter value. Case studies show that the pro- posed method can be applied to the measured parameters and model validation work.