同步机动态模型参数的数字机估计

本文的主要目的是发展一种数字机参数估计算法,它能从带有噪声的数据中提炼出同步发电机的动态模型参数。本方法采用的是建立电机模型;用该模型计算在参数初值的基础上的电流输出;进而利用电机参数的灵敏度矩阵,调整参数值,以使量测输出与模型输出间误差的平方和达到最小。进一步,结合噪声的统计规律于估计方法之中,通过加权阵的形式,建立了极大似然估计器。

PARAMETER ESTIMATION OF DYNAMIC MODELS OF SYNCHRONOUS GENERATORS BY DIGITAL COMPUTER

The main purpose of this paper is to develop an estimation algorithm by digital computer, that extracts parameters of dynamic model of synchronous generator from test data with noises. The approach taken by this algorithm is to model the generator, uses this model to calculate the current outputs based on the initial parameter value, and then to utilize the sensitivity matrixes of parameters, adjusting the parameter estimates systemtically' to minimize the square of the difference between the measured outputs of the generator and model outputs. Furthermore, incorporating the statistics of the noise which inevitably corrupts the measurements into the estimation algorithm leads to the maximum posteriori probability estimation.