Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming

Weiping Liao; Yan Zhang; Rui Zhou

doi:doi:10.11648/j.acis.20180603.11

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Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming

Weiping Liao, Yan Zhang, Rui Zhou

Published in Automation, Control and Intelligent Systems (Volume 6, Issue 3)

Received: 24 June 2018 Accepted: 25 July 2018 Published: 18 December 2018

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Abstract

In order to precaution and control the transient voltage stability of the receiving-end system, it is very necessary to quickly and accurately calculate the model parameters for induction motor synthesis load. There are several methods to obtain the model parameters of induction motor, in which, estimating the model parameters of induction motor using for power system stability analysis according to the nameplate data is a significant promising approach with potential application. In this paper, a new optimized mathematical model for identification of induction motor single-cage and double-cage parameters are proposed, it’s overcome the deficiency of artificially adding approximate constraints in parameter identification of induction motor models from induction motor manufacturer data. Minimization of the induction motor efficiency deviation is taken as the goal and important induction motor performance indicators, such as the stator current, the input reactive power, the maximum electromagnetic torque and the starting parameters, are equal to their manufacturer values are regarded as constraints, the sequential quadratic programming (SQP) is used to solve the nonlinear problem. The proposed new mathematical model and algorithm were verifed on a sample of 6 induction motors of different capacity, manufacturers, and rated voltage. The induction motor performance characteristics supplied by the manufacturer and used to identification parameters of induction motor are then calculated, using the equivalent circuit estimated parameters themselves. In all the studied cases, the calculated induction motors performance indexes are found to be in excellent agreement with the manufacturer data. Comparison with other methods shows that the induction motor model parameters obtained by this method can reflect the working characteristics of induction motor single-cage and double-cage model more accurately.

Published in	Automation, Control and Intelligent Systems (Volume 6, Issue 3)
DOI	10.11648/j.acis.20180603.11
Page(s)	28-37
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Induction Motor, Manufacturer Data, Parameter Identification, Sequential Quadratic Programming

References

[1]	GU Zhuoyuan, TANG Yong, YI Jun, et al. Study on Mechanism of Interrelationship Between Power System Angle Stability and Induction Motor Stability [J], Power System Technology, 2017, 41(12): 2499-2505.
[2]	XIE Haipeng, HE Jian, BIE Zhaohong, et al., Reliability Evaluation of Large-scale Hybrid AC/DC Grids Based on SOCP Load Shedding Model [J], Power System Technology, 2016, 40(12): 3761-3767.
[3]	J. Modarresi, E. Gholipour, A. Khodabakhshian, “A comprehensive review of the voltage stability indices,” Renewable and Sustainable Energy Reviews, vol. 63, pp. 1–12, Sep, 2016.
[4]	H. Y. Yuan, F. X. Li, Hybrid voltage stability assessment (VSA) for N−1 contingency, Electric Power Systems Research, vol. 122, pp. 65–75, May. 2015.
[5]	Zhou Qinyong, Zhang Yantao, He Hailei, et al. A practical site selection method for dynamic reactive power compensation in multi-infeed DC power grid [J]. Power System Technology, 2014, 38(7): 1753-1757.
[6]	Tang Yong, Zhang Hongbin, Hou Junxian, et al. Study on essential principle and methods for load modeling [J]. Power System Technology, 2007, 31(4): 1-5.
[7]	Li Peng, Yu Yixin, Jia Hongjie. A study on models and methods for identifying of voltage stability limit more precisely [J]. Proceedings of the CSEE, 2004, 24(10): 21-26.
[8]	Zhao Bing, Tang Yong, Zhang Wenchao, et al. Determination of induction motor simulation model parameters based on the motor manufacturer Data [J]. Power System Technology, 2010, 30(1): 52-58.
[9]	Rogers G. J, Shirmohammadi D., Induction machine modeling for electromagnetic transient program [J]. IEEE Trans. On Energy Conversion, 1987, 2(4): 622–628.
[10]	Abdelaziz M. M. A, El-Saadany E. F. Estimation of Induction Motor Single-Cage Model Parameters from Manufacturer Data [J]. 2013 IEEE Power and Energy Society General Meeting, 2013: 1-5.
[11]	Sakthivel V. P, Bhuvaneswari R, Subramanian S. Multi- objective parameter estimation of induction motor using particle swarm optimization [J]. Engineering Applications of Artificial Intelligence, 2010, 23: 302–312.
[12]	ABRO A. G, Saleh J. M. Multiple-global-best guided artificial bee colony algorithm for induction motor parameter estimation [J]. IEEE Trans. On Energy Conversion, 2014, 22:620-636.
[13]	Pedra J, Corcoles F. Estimation of induction motor double-cage model parameters from manufacturer data [J]. IEEE Trans. On Energy Conversion, 2004, 19(2): 310-316.
[14]	Pedra J, Corcoles F. On the Determination of Induction Motor Parameters From Manufacturer Data for electro- magnetic transient programs [J]. IEEE Trans. On Energy Conversion, 2008, 23(4): 1709-1718.
[15]	Tang Yunqiu, Luo yingli, Liang Yanping. Electrical Machinery [M]. Beijing: China Machine Press, 2008.
[16]	Philip E. GILL. User’s Guide for SNOPT Version 7: Software for Large-Scale Nonlinear Programming, 2008.
[17]	Jiang Aipeng. Large scale reduced space SQP algorithm and its application in process system optimization [D]. Hangzhou: Zhejianguniversity, 2008.
[18]	Ma Changfeng. Optimization method and its MATLAB program esign [M]. Beijing: Science Press, 2010: 211-251.
[19]	China Electric Power Science Research Institute, PSD-BPA Transient stability program user manual, Chinese Version 4.15.

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APA Style

Weiping Liao, Yan Zhang, Rui Zhou. (2018). Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming. Automation, Control and Intelligent Systems, 6(3), 28-37. https://doi.org/10.11648/j.acis.20180603.11

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ACS Style

Weiping Liao; Yan Zhang; Rui Zhou. Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming. Autom. Control Intell. Syst. 2018, 6(3), 28-37. doi: 10.11648/j.acis.20180603.11

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AMA Style

Weiping Liao, Yan Zhang, Rui Zhou. Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming. Autom Control Intell Syst. 2018;6(3):28-37. doi: 10.11648/j.acis.20180603.11

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@article{10.11648/j.acis.20180603.11,
  author = {Weiping Liao and Yan Zhang and Rui Zhou},
  title = {Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming},
  journal = {Automation, Control and Intelligent Systems},
  volume = {6},
  number = {3},
  pages = {28-37},
  doi = {10.11648/j.acis.20180603.11},
  url = {https://doi.org/10.11648/j.acis.20180603.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20180603.11},
  abstract = {In order to precaution and control the transient voltage stability of the receiving-end system, it is very necessary to quickly and accurately calculate the model parameters for induction motor synthesis load. There are several methods to obtain the model parameters of induction motor, in which, estimating the model parameters of induction motor using for power system stability analysis according to the nameplate data is a significant promising approach with potential application. In this paper, a new optimized mathematical model for identification of induction motor single-cage and double-cage parameters are proposed, it’s overcome the deficiency of artificially adding approximate constraints in parameter identification of induction motor models from induction motor manufacturer data. Minimization of the induction motor efficiency deviation is taken as the goal and important induction motor performance indicators, such as the stator current, the input reactive power, the maximum electromagnetic torque and the starting parameters, are equal to their manufacturer values are regarded as constraints, the sequential quadratic programming (SQP) is used to solve the nonlinear problem. The proposed new mathematical model and algorithm were verifed on a sample of 6 induction motors of different capacity, manufacturers, and rated voltage. The induction motor performance characteristics supplied by the manufacturer and used to identification parameters of induction motor are then calculated, using the equivalent circuit estimated parameters themselves. In all the studied cases, the calculated induction motors performance indexes are found to be in excellent agreement with the manufacturer data. Comparison with other methods shows that the induction motor model parameters obtained by this method can reflect the working characteristics of induction motor single-cage and double-cage model more accurately.},
 year = {2018}
}

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TY  - JOUR
T1  - Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming
AU  - Weiping Liao
AU  - Yan Zhang
AU  - Rui Zhou
Y1  - 2018/12/18
PY  - 2018
N1  - https://doi.org/10.11648/j.acis.20180603.11
DO  - 10.11648/j.acis.20180603.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 28
EP  - 37
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20180603.11
AB  - In order to precaution and control the transient voltage stability of the receiving-end system, it is very necessary to quickly and accurately calculate the model parameters for induction motor synthesis load. There are several methods to obtain the model parameters of induction motor, in which, estimating the model parameters of induction motor using for power system stability analysis according to the nameplate data is a significant promising approach with potential application. In this paper, a new optimized mathematical model for identification of induction motor single-cage and double-cage parameters are proposed, it’s overcome the deficiency of artificially adding approximate constraints in parameter identification of induction motor models from induction motor manufacturer data. Minimization of the induction motor efficiency deviation is taken as the goal and important induction motor performance indicators, such as the stator current, the input reactive power, the maximum electromagnetic torque and the starting parameters, are equal to their manufacturer values are regarded as constraints, the sequential quadratic programming (SQP) is used to solve the nonlinear problem. The proposed new mathematical model and algorithm were verifed on a sample of 6 induction motors of different capacity, manufacturers, and rated voltage. The induction motor performance characteristics supplied by the manufacturer and used to identification parameters of induction motor are then calculated, using the equivalent circuit estimated parameters themselves. In all the studied cases, the calculated induction motors performance indexes are found to be in excellent agreement with the manufacturer data. Comparison with other methods shows that the induction motor model parameters obtained by this method can reflect the working characteristics of induction motor single-cage and double-cage model more accurately.
VL  - 6
IS  - 3
ER  -

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Author Information

Weiping Liao

Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd., Jiangmen, China
Yan Zhang

Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd., Jiangmen, China
Rui Zhou

Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd., Jiangmen, China

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Plain Text BibTeX RIS

APA Style

Weiping Liao, Yan Zhang, Rui Zhou. (2018). Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming. Automation, Control and Intelligent Systems, 6(3), 28-37. https://doi.org/10.11648/j.acis.20180603.11

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ACS Style

Weiping Liao; Yan Zhang; Rui Zhou. Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming. Autom. Control Intell. Syst. 2018, 6(3), 28-37. doi: 10.11648/j.acis.20180603.11

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AMA Style

Weiping Liao, Yan Zhang, Rui Zhou. Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming. Autom Control Intell Syst. 2018;6(3):28-37. doi: 10.11648/j.acis.20180603.11

Copy | Download

@article{10.11648/j.acis.20180603.11,
  author = {Weiping Liao and Yan Zhang and Rui Zhou},
  title = {Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming},
  journal = {Automation, Control and Intelligent Systems},
  volume = {6},
  number = {3},
  pages = {28-37},
  doi = {10.11648/j.acis.20180603.11},
  url = {https://doi.org/10.11648/j.acis.20180603.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20180603.11},
  abstract = {In order to precaution and control the transient voltage stability of the receiving-end system, it is very necessary to quickly and accurately calculate the model parameters for induction motor synthesis load. There are several methods to obtain the model parameters of induction motor, in which, estimating the model parameters of induction motor using for power system stability analysis according to the nameplate data is a significant promising approach with potential application. In this paper, a new optimized mathematical model for identification of induction motor single-cage and double-cage parameters are proposed, it’s overcome the deficiency of artificially adding approximate constraints in parameter identification of induction motor models from induction motor manufacturer data. Minimization of the induction motor efficiency deviation is taken as the goal and important induction motor performance indicators, such as the stator current, the input reactive power, the maximum electromagnetic torque and the starting parameters, are equal to their manufacturer values are regarded as constraints, the sequential quadratic programming (SQP) is used to solve the nonlinear problem. The proposed new mathematical model and algorithm were verifed on a sample of 6 induction motors of different capacity, manufacturers, and rated voltage. The induction motor performance characteristics supplied by the manufacturer and used to identification parameters of induction motor are then calculated, using the equivalent circuit estimated parameters themselves. In all the studied cases, the calculated induction motors performance indexes are found to be in excellent agreement with the manufacturer data. Comparison with other methods shows that the induction motor model parameters obtained by this method can reflect the working characteristics of induction motor single-cage and double-cage model more accurately.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Parameters Identification of Induction Motor Model Based on Manufacturer Data and Sequential Quadratic Programming
AU  - Weiping Liao
AU  - Yan Zhang
AU  - Rui Zhou
Y1  - 2018/12/18
PY  - 2018
N1  - https://doi.org/10.11648/j.acis.20180603.11
DO  - 10.11648/j.acis.20180603.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 28
EP  - 37
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20180603.11
AB  - In order to precaution and control the transient voltage stability of the receiving-end system, it is very necessary to quickly and accurately calculate the model parameters for induction motor synthesis load. There are several methods to obtain the model parameters of induction motor, in which, estimating the model parameters of induction motor using for power system stability analysis according to the nameplate data is a significant promising approach with potential application. In this paper, a new optimized mathematical model for identification of induction motor single-cage and double-cage parameters are proposed, it’s overcome the deficiency of artificially adding approximate constraints in parameter identification of induction motor models from induction motor manufacturer data. Minimization of the induction motor efficiency deviation is taken as the goal and important induction motor performance indicators, such as the stator current, the input reactive power, the maximum electromagnetic torque and the starting parameters, are equal to their manufacturer values are regarded as constraints, the sequential quadratic programming (SQP) is used to solve the nonlinear problem. The proposed new mathematical model and algorithm were verifed on a sample of 6 induction motors of different capacity, manufacturers, and rated voltage. The induction motor performance characteristics supplied by the manufacturer and used to identification parameters of induction motor are then calculated, using the equivalent circuit estimated parameters themselves. In all the studied cases, the calculated induction motors performance indexes are found to be in excellent agreement with the manufacturer data. Comparison with other methods shows that the induction motor model parameters obtained by this method can reflect the working characteristics of induction motor single-cage and double-cage model more accurately.
VL  - 6
IS  - 3
ER  -

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