Parameter Imputation Methods and Typical Parameter Analysis of Load Transient Model of Induction Motor

被引：0
|
作者：
Liang T. [1 ]
Zhou N. [1 ]
Lu T. [2 ]
Wu H. [1 ]
Ju P. [1 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou
[2] Economic Research Institute of State Grid Liaoning Electric Power Company Limited, Shenyang
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Induction motor types; K-means clustering; Load model; Parameters imputation; Typical parameter values;
D O I：
10.7500/AEPS20190507002
中图分类号：
学科分类号：
摘要：
There are a large number of inductive motor loads with different parameters in power systems. In order to study the types of induction motors and the distribution characteristics of their parameters, an analysis is carried out, which is based on the load model parameters of 224 motors obtained from literature, and considers the difference of motor model in transient simulation. Firstly, the missing mechanical torque coefficients and initial slip in the model parameters obtained from literature, are filled by K-nearest neighbor imputation method, load factor or critical slip, respectively. Secondly, the transient power curve of the motor is chosen as the clustering indicator, considering the difference of transient response of different motors. Then, 7 kinds of motors with different transient characteristics are obtained by the K-means algorithm, and the distribution characteristics of their parameters are analyzed. The obtained 7 kinds of typical parameters supplement the motor parameter sets recommended by IEEE and State Grid Corporation of China, and provide a reference for the typical parameters of the induction motor load model. © 2020 Automation of Electric Power Systems Press.
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页码：74 / 82
页数：8
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