TY - JOUR
T1 - ОПРЕДЕЛЕНИЕ ПАРАМЕТРОВ СХЕМЫ ЗАМЕЩЕНИЯ ПОГРУЖНОГО ЭЛЕКТРОДВИГАТЕЛЯ НА ОСНОВАНИИ ДАННЫХ ИСПЫТАНИЙ
AU - Shubin, Stanislav S.
AU - Yamaliev, Vil U.
AU - Glazyrin, Alexander S.
AU - Bunkov, Dmitriy S.
AU - Kladiev, Sergey N.
AU - Rakov, Ivan V.
AU - Bolovin, Evgeniy V.
AU - Kovalev, Vladimir Z.
AU - Khamitov, Rustam N.
N1 - Publisher Copyright:
© 2021 Tomsk Polytechnic University, Publishing House. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - One of the main problems in operation of wells equipped with installations of electric centrifugal pumps is determining the technical condition of submersible electrical equipment and preventing its failures. Among the various approaches to solving this problem, one can single out a method for determining the technical state of an installation of electric centrifugal pumps using a complete customizable mathematical model of the installation, including a model of a submersible induction motor. This article discusses an approach to determining and restoring the necessary parameters for tuning a submersible induction motor model based on the data given in the submersible induction motor test report. The main aim of the research is to develop a methodology for restoring the parameters of the equivalent circuit for submersible induction motor on the basis of typical data contained in the acceptance test report. Methods. The proposed approach is based on the combined use of a tunable dynamic model of a squirrel-cage induction motor and a differential evolution algorithm. The actual solution to determine the parameters of submersible induction motor damage is reduced to solving the global optimization problem, i. e. to the problem of finding the global (best) minimum of a function. Results. The authors have developed an approach for restoring the parameters of the submersible induction motor equivalent circuit, which allows setting the values of the equivalent circuit parameters for the submersible induction motor, acceptable for practice, according to the test results; the performance of the developed identification approach was tested using global optimization methods and mathematical modeling of submersible induction motors; the obtained estimates are stable for all parameters of the equivalent circuit except for the parameter of the mechanical subsystem.
AB - One of the main problems in operation of wells equipped with installations of electric centrifugal pumps is determining the technical condition of submersible electrical equipment and preventing its failures. Among the various approaches to solving this problem, one can single out a method for determining the technical state of an installation of electric centrifugal pumps using a complete customizable mathematical model of the installation, including a model of a submersible induction motor. This article discusses an approach to determining and restoring the necessary parameters for tuning a submersible induction motor model based on the data given in the submersible induction motor test report. The main aim of the research is to develop a methodology for restoring the parameters of the equivalent circuit for submersible induction motor on the basis of typical data contained in the acceptance test report. Methods. The proposed approach is based on the combined use of a tunable dynamic model of a squirrel-cage induction motor and a differential evolution algorithm. The actual solution to determine the parameters of submersible induction motor damage is reduced to solving the global optimization problem, i. e. to the problem of finding the global (best) minimum of a function. Results. The authors have developed an approach for restoring the parameters of the submersible induction motor equivalent circuit, which allows setting the values of the equivalent circuit parameters for the submersible induction motor, acceptable for practice, according to the test results; the performance of the developed identification approach was tested using global optimization methods and mathematical modeling of submersible induction motors; the obtained estimates are stable for all parameters of the equivalent circuit except for the parameter of the mechanical subsystem.
KW - Differential evolution
KW - Genetic algorithms
KW - Heuristics
KW - Identification
KW - Induction machine
KW - Multivariate data
KW - Multivariate mathematical optimization
KW - Stochastic algorithms
KW - Submersible induction motor
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U2 - 10.18799/24131830/2021/1/3013
DO - 10.18799/24131830/2021/1/3013
M3 - Статья
AN - SCOPUS:85099941626
VL - 332
SP - 204
EP - 214
JO - Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering
JF - Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering
SN - 2500-1019
IS - 1
ER -