基于同调性的电动机动态聚合方法

A Dynamic Aggregation Method for Induction Motors Based on Their Coherent Characteristics

电动机参数对电力系统仿真精度具有突出的影响,文中提出了一种电动机的动态聚合方法。该方法直接从电动机的机电模型出发,以机电模型方程中的时间常数等系数与初始滑差组成特征向量,采用模糊聚类方法将电动机进行分组;然后,对每组中电动机机电模型微分方程中的系数加权平均,得到一个聚合电动机三阶机电模型微分方程中的系数;最后,根据等值前后电动机吸收的有功、无功不变的准则,计算得到聚合后电动机的所有阻抗、初始滑差、惯性时间参数。算例表明该方法在动态过程中的误差较小,能够提高仿真精度。

Parameters of induction motors have crucial influence on simulation precision of a power system.This paper proposes a dynamic aggregation method of induction motors.In this method,firstly,based on the electromechanical model of induction motors,by using the coefficients of the electromechanical equation as the characteristic vector,motors are grouped with fuzzy clustering approach.Then,coefficient of the electromechanical equations of the equivalent motor is obtained by averaging that of the individual motors in the same group.Finally,parameters of equivalent motor are calculated based on the principle that the real and reactive powers of the motors remain the same before and after aggregation.Simulation results show that the proposed method can improve the precision of simulation.