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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17209
Title: Data Derived Identification Methodology for Online Estimation of Parameters of Induction Machine
Authors: Prasad R.
Padhy N.P.
Published in: Proceedings of 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019
Abstract: The paper highlights the revived requirement of parameter estimation of the induction machine. The data derived identification technique is introduced to provide the approximate induction machine model parameters. The active and reactive power output of the induction machine at some known condition is compared with active and reactive power output of the induction machine simulated in real-time digital simulator environment at different values of parameters at given operating conditions. Thus a real-world optimization problem is formed and is addressed by the mean-variance optimization scheme. The results are platformed on the MATLAB-RTDS environment which shares information via the TCP/IP connection. The estimated parameters will help in providing increased reliability in designing the advanced control scheme. The proposed methodology is tested in single as well as double cage rotor winding type of the induction motor and also in reduced voltage level scenario for the validation of the technique. © 2019 IEEE.
Citation: Proceedings of 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019, (2019)
URI: https://doi.org/10.1109/ISAP48318.2019.9065964
http://repository.iitr.ac.in/handle/123456789/17209
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Mean variance optimization
parameter estimation of induction machine
real time digital simulator
script file
transmission control protocol/internet protocol connection
ISBN: 9781728131924
Author Scopus IDs: 57216691712
35517075500
Author Affiliations: Prasad, R., Indian Institute of Technology Roorkee, Department of Electrical Engineering, Roorkee, India
Padhy, N.P., Indian Institute of Technology Roorkee, Department of Electrical Engineering, Roorkee, India
Funding Details: ACKNOWLEDGMENT This work is supported by Department of Science and Technology (DST), India smart grid research initiatives under the research grants: US-India CollAborative for smart diStribution System wIth STorage (UI-ASSIST: IUS-1132-EED), Indo-UK Collaboration for Zero Peak Energy Building Design for India (ZED-I: DST-1161-APD), Demonstration of MW-scale Solar Integration in weak grids using Distributed Energy Storage architecture (D-SIDES:DST-1237 EED) and Indo-Danish collaboration for data-driven control and optimization for a highly Efficient Distribution Grid (ID-EDGe: DST-1390-EED).
Appears in Collections:Conference Publications [EE]

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