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

Tao LIANG; Ning ZHOU; Hao WU; Ping JU; Tianqi LU

doi:10.7500/AEPS20190507002

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

Basic Research | 更新时间：2020-07-14

- Parameter Imputation Methods and Typical Parameter Analysis of Load Transient Model of Induction Motor
- Automation of Electric Power Systems Vol. 44, Issue 1, Pages: 74-82(2020)
- 作者机构：
  
  1. 浙江大学电气工程学院，浙江省杭州市 310027
  2. 国网辽宁省电力有限公司经济技术研究院，辽宁省沈阳市 110015
- 作者简介：
- 基金信息：
- DOI：10.7500/AEPS20190507002
  CLC：
- Received：07 May 2019，
  
  Revised：2019-08-13，
  
  Published Online：11 November 2019，
  
  Published：10 January 2020
- 稿件说明：
移动端阅览
梁涛,周宁,卢天琪等.感应电动机负荷暂态模型的参数填补方法及典型参数分析[J].电力系统自动化,2020,44(01):74-82.

LIANG Tao,ZHOU Ning,LU Tianqi,et al.Parameter Imputation Methods and Typical Parameter Analysis of Load Transient Model of Induction Motor[J].Automation of Electric Power Systems,2020,44(01):74-82.
梁涛,周宁,卢天琪等.感应电动机负荷暂态模型的参数填补方法及典型参数分析[J].电力系统自动化,2020,44(01):74-82. DOI： 10.7500/AEPS20190507002.

LIANG Tao,ZHOU Ning,LU Tianqi,et al.Parameter Imputation Methods and Typical Parameter Analysis of Load Transient Model of Induction Motor[J].Automation of Electric Power Systems,2020,44(01):74-82. DOI： 10.7500/AEPS20190507002.

摘要

电力系统中存在大量参数各异的感应电动机负荷，为研究其类型及相关参数的分布特征，以文献调研获得的224台电动机负荷模型参数为基础，以电动机模型在暂态仿真中的差异为依据，进行了深入分析。首先，针对调研所得模型参数中机械转矩系数和初始滑差大量缺失的问题，分别通过

最近邻填补方法、负载率或临界滑差予以填补；其次，针对不同电动机暂态响应的差异，以仿真所得的电动机暂态功率曲线为聚类依据，采用

均值算法，获得了7类暂态特征各异的电动机，并分析了7类电动机的参数分布特征。所得的7类典型参数值补充了IEEE和国家电网有限公司推荐的电动机参数集，为感应电动机负荷模型的典型参数取值提供了参考依据。

Abstract

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

-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

-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.

关键词

Keywords

references

ZHU Y , MILANOVIĆ J V . Automatic identification of power system load models based on field measurements [J]. IEEE Transactions on Power Systems , 2018 , 33 ( 3 ): 3162 - 3171 .

ARIF A , WANG Z , WANG J , et al . Load modeling—a review [J]. IEEE Transactions on Smart Grid , 2018 , 9 ( 6 ): 5986 - 5999 .

CHAKRABARTI V V S , SRIVASTAVA S C . Power system load modelling under large and small disturbances using phasor measurement units data [J]. IET Generation , Transmission & Distribution , 2015 , 9 ( 12 ): 1316 - 1323 .

孙华东 , 周孝信 , 李若梅 . 感应电动机负荷参数对电力系统暂态电压稳定性的影响 [J]. 电网技术 , 2005 , 29 ( 23 ): 1 - 6 .

SUN Huadong , ZHOU Xiaoxin , LI Ruomei . Influence of induction motor load parameters on power system transient voltage stability [J]. Power System Technology , 2005 , 29 ( 23 ): 1 - 6 .

任杰桢 , 鞠平 , 赵娟 , 等 . 考虑电动机负荷的静态电压稳定分析 [J]. 电力自动化设备 , 2014 , 34 ( 5 ): 139 - 143 .

REN Jiezhen , JU Ping , ZHAO Juan , et al . Static voltage stability analysis considering motor loads [J]. Electric Power Automation Equipment , 2014 , 34 ( 5 ): 139 - 143 .

林莉 , 朱丽云 , 张向伍 , 等 . 含多感应电动机负荷的微网电压稳定性仿真分析 [J]. 电力系统自动化 , 2017 , 41 ( 8 ): 78 - 83 .

LIN Li , ZHU Liyun , ZHANG Xiangwu , et al . Simulation and analysis of voltage stability for microgrid with multiple induction motor loads [J]. Automation of Electric Power Systems , 2017 , 41 ( 8 ): 78 - 83 .

张文朝 , 张博 , 潘捷 , 等 . 基于感应电动机网荷互馈特性的暂态电压失稳机理探析 [J]. 电力系统自动化 , 2017 , 41 ( 7 ): 8 - 13 .

ZHANG Wenchao , ZHANG Bo , PAN Jie , et al . Mechanism analysis for transient voltage instability based on cross feed characteristics between power network and load of induction motor [J]. Automation of Electric Power Systems , 2017 , 41 ( 7 ): 8 - 13 .

汤涌 . 电力负荷的数学模型与建模技术 [M]. 北京 : 科学出版社 , 2012 .

TANG Yong . Mathematical model and modeling technology of power loads [M]. Beijing : Science Press , 2012 .

IEEE Task Force Report . Load representation for dynamic performance analysis [J]. IEEE Transactions on Power Systems , 1993 , 8 ( 2 ): 472 - 482 .

KOSTEREV D N , TAYLOR C W , MITTELSTADT W A . Model validation for the August 10, 1996 WSCC system outage [J]. IEEE Transactions on Power Systems , 1999 , 14 ( 3 ): 967 - 979 .

鞠平 , 马大强 . 电力系统负荷建模 [M]. 2 版 .北京 : 中国电力出版社 , 2008 .

JU Ping , MA Daqiang . Power system load modeling [M]. 2nd ed . Beijing: China Electric Power Press , 2008 .

张景超 , 张承学 , 鄢安河 , 等 . 基于自组织神经网络和稳态模型的多台感应电动机聚合方法 [J]. 电力系统自动化 , 2007 , 31 ( 11 ): 44 - 48 .

ZHANG Jingchao , ZHANG Chengxue , YAN Anhe , et al . Aggregation of multi induction motors based on the self-organized neural network and steady state model [J]. Automation of Electric Power Systems , 2007 , 31 ( 11 ): 44 - 48 .

张剑 , 孙元章 , 徐箭 , 等 . 基于同调性的电动机动态聚合方法 [J]. 电力系统自动化 , 2010 , 34 ( 5 ): 48 - 52 .

ZHANG Jian , SUN Yuanzhang , XU Jian , et al . A dynamic aggregation method for induction motors based on their coherent characteristics [J]. Automation of Electric Power Systems , 2010 , 34 ( 5 ): 48 - 52 .

赵兵 , 汤涌 , 张文朝 . 感应电动机群单机等值算法研究 [J]. 中国电机工程学报 , 2009 , 29 ( 19 ): 43 - 49 .

ZHAO Bing , TANG Yong , ZHANG Wenchao . Study on single-unit equivalent algorithm of induction motor group [J]. Proceedings of the CSEE , 2009 , 29 ( 19 ): 43 - 49 .

戴丽丽 , 黄小庆 , 曹一家 , 等 . 计及系统稳定性和电磁特性的电动机聚合方法 [J]. 电力系统及其自动化学报 , 2016 , 28 ( 2 ): 15 - 21 .

DAI Lili , HUANG Xiaoqing , CAO Yijia , et al . Aggregation method of induction motors considering system stability and electromechanical transient characteristics [J]. Proceedings of the CSU-EPSA , 2016 , 28 ( 2 ): 15 - 21 .

陈烨 , 程祥 , 吴浩 , 等 . 计及静态临界稳定特性的感应电动机群聚合等值方法 [J]. 电网技术 , 2017 , 41 ( 9 ): 2964 - 2973 .

CHEN Ye , CHENG Xiang , WU Hao , et al . Aggregation of induction motor group considering physical characteristics and static critical stable characteristics [J]. Power System Technology , 2017 , 41 ( 9 ): 2964 - 2973 .

KUNDUR P . Power system stability and control [M]. New York , USA: McGraw-Hill , 1994 .

郝胜轩 , 宋宏 , 周晓峰 . 基于近邻噪声处理的KNN缺失数据填补算法 [J]. 计算机仿真 , 2014 , 31 ( 7 ): 264 - 268 .

HAO Shengxuan , SONG Hong , ZHOU Xiaofeng . Predicting missing values with KNN based on the elimination of neighbor noise [J]. Computer Simulation , 2014 , 31 ( 7 ): 264 - 268 .

吴浩 , 郭瑞鹏 , 韩祯祥 , 等 . 感应电动机连锁堵转宏观规律的初探 [J]. 电力系统自动化 , 2010 , 34 ( 13 ): 37 - 42 .

WU Hao , GUO Ruipeng , HAN Zhenxiang , et al . Initial study on macro laws of induction motor cascading stall [J]. Automation of Electric Power Systems , 2010 , 34 ( 13 ): 37 - 42 .

张斌 , 庄池杰 , 胡军 , 等 . 结合降维技术的电力负荷曲线集成聚类算法 [J]. 中国电机工程学报 , 2015 , 35 ( 15 ): 3741 - 3749 .

ZHANG Bin , ZHUANG Chijie , HU Jun , et al . Ensemble clustering algorithm combined with dimension reduction [J]. Proceedings of the CSEE , 2015 , 35 ( 15 ): 3741 - 3749 .

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