感应电动机的参数加权平均综合建模

PARAMETERSWEIGHTING- MEAN SYNTHESISMODELING FOR INDUCTION MOTOR

针对电力系统仿真计算中广泛采用感应电动机作为综合负荷模型的实际情况 ,提出一种基于单一现场实测负荷记录的感应电动机参数加权平均综合建模的方法。该方法首先根据各单个负荷记录用总体辨识法获得相应的模型参数 ,然后将各个不同记录下获得的模型参数按照一定准则进行加权平均 ,并以此作为综合负荷的模型。基于现场实测负荷记录的建模实践表明 ,该建模方法简单、有效、省时 ,使用灵活方便 ,它对实际负荷的描述能力甚至优于综合辨识建模 。

Aiming at the practical instance that the induction motor model is widely used in the simulating calculations of electric power systems, this article presents a method called 'parameters weighting-mean synthesis modeling' for the induction motor based on the identification modeling for every single load record. The essential ideas of the method are as follows: each set of model parameters of the induction motor is obtained to the associated load records with the identification modeling respectively at first, then the weighting-mean parameters of all single identification modeling are derived and used as equivalent model parameters of aggregate power load at the same power substation bus. The practical modeling results show that this method is very convenient in use and is simpler and more effective than that of the 'collectivity identification modeling'.