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Dynamic Aggregation Method of Induction Motors Based on Coherent Characteristics

机译:基于相干特性的异步电动机动态聚集方法

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Parameters of induction motors have crucial effects on power system simulation. This paper proposes a dynamic aggregation method of induction motors. In this method, firstly, starting off the electromechanical models of induction motors, taking the coefficients of the electromechanical equations and steady slips of motors as the characteristic vectors, motors are grouped with C-means fuzzy clustering approach. Then, electro -mechanical equations of the equivalent motor is obtained by averaging that of the individual motors in the same group. Finally, parameters of equivalent motors are calculated based on the relationship of transient impedance before and after aggregation, and the principle that active and reactive power loads are equal before and after aggregation. Simulation results show that the proposed method can improve the precision of simulation.
机译:感应电动机的参数对电力系统仿真至关重要。本文提出了一种感应电动机的动态聚集方法。在该方法中,首先,以感应电机的机电模型为出发点,以电机的机电方程系数和电机的稳定转差为特征矢量,对电机进行C-均值模糊聚类。然后,通过平均同一组中各个电动机的机电方程式,得出等效电动机的机电方程式。最后,基于聚合前后瞬态阻抗的关系,以及聚合前后有功和无功功率相等的原理,计算出等效电动机的参数。仿真结果表明,该方法可以提高仿真精度。

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