ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATA

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 deter...

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Main Authors: Stanislav S. Shubin, Vil U. Yamaliev, Alexander S. Glazyrin, Dmitriy S. Bunkov, Sergey N. Kladiev, Ivan V. Rakov, Evgeniy V. Bolovin, Vladimir Z. Kovalev, Rustam N. Khamitov
Format: Article
Language:Russian
Published: Tomsk Polytechnic University 2021-01-01
Series:Известия Томского политехнического университета: Инжиниринг георесурсов
Subjects:
Online Access:http://izvestiya.tpu.ru/archive/article/view/3013/2397
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author Stanislav S. Shubin
Vil U. Yamaliev
Alexander S. Glazyrin
Dmitriy S. Bunkov
Sergey N. Kladiev
Ivan V. Rakov
Evgeniy V. Bolovin
Vladimir Z. Kovalev
Rustam N. Khamitov
author_facet Stanislav S. Shubin
Vil U. Yamaliev
Alexander S. Glazyrin
Dmitriy S. Bunkov
Sergey N. Kladiev
Ivan V. Rakov
Evgeniy V. Bolovin
Vladimir Z. Kovalev
Rustam N. Khamitov
author_sort Stanislav S. Shubin
collection DOAJ
description 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 electric motor. This article discusses an approach to determining and restoring the necessary parameters for tuning a submersible electric motor model based on the data given in the submersible electric motor test report. The main aim of the research is todevelop a methodology for restoring the parameters of the equivalent circuit for submersible electric 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 electric 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 electric motor equivalent circuit, which allows setting the values of the equivalent circuit parameters for the submersible electric 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.
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spelling doaj.art-b6e186b9057c4886baf5871875b3d0cd2022-12-21T21:26:37ZrusTomsk Polytechnic UniversityИзвестия Томского политехнического университета: Инжиниринг георесурсов2500-10192413-18302021-01-01332120421410.18799/24131830/2021/1/3013ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATAStanislav S. Shubin0Vil U. Yamaliev1 Alexander S. Glazyrin2Dmitriy S. Bunkov3Sergey N. Kladiev4Ivan V. Rakov5Evgeniy V. Bolovin6Vladimir Z. Kovalev7Rustam N. Khamitov8Ufa State Petroleum Technological UniversityUfa State Petroleum Technological UniversityNational Research Tomsk Polytechnic University; Yugra State UniversityEletim LtdNational Research Tomsk Polytechnic UniversityNational Research Tomsk Polytechnic UniversityNational Research Tomsk Polytechnic UniversityYugra State UniversityOmsk State Technical University; Tyumen Industrial University 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 electric motor. This article discusses an approach to determining and restoring the necessary parameters for tuning a submersible electric motor model based on the data given in the submersible electric motor test report. The main aim of the research is todevelop a methodology for restoring the parameters of the equivalent circuit for submersible electric 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 electric 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 electric motor equivalent circuit, which allows setting the values of the equivalent circuit parameters for the submersible electric 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.http://izvestiya.tpu.ru/archive/article/view/3013/2397identificationinduction machinegenetic algorithmsheuristicssubmersible electric motordifferential evolutionmultivariate mathematical optimizationmultivariate datastochastic algorithms
spellingShingle Stanislav S. Shubin
Vil U. Yamaliev
Alexander S. Glazyrin
Dmitriy S. Bunkov
Sergey N. Kladiev
Ivan V. Rakov
Evgeniy V. Bolovin
Vladimir Z. Kovalev
Rustam N. Khamitov
ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATA
Известия Томского политехнического университета: Инжиниринг георесурсов
identification
induction machine
genetic algorithms
heuristics
submersible electric motor
differential evolution
multivariate mathematical optimization
multivariate data
stochastic algorithms
title ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATA
title_full ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATA
title_fullStr ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATA
title_full_unstemmed ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATA
title_short ESTIMATION OF SUBMERSIBLE INDUCTION MOTOR EQUIVALENT CIRCUIT PARAMETERS BASED ON TEST DATA
title_sort estimation of submersible induction motor equivalent circuit parameters based on test data
topic identification
induction machine
genetic algorithms
heuristics
submersible electric motor
differential evolution
multivariate mathematical optimization
multivariate data
stochastic algorithms
url http://izvestiya.tpu.ru/archive/article/view/3013/2397
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AT dmitriysbunkov estimationofsubmersibleinductionmotorequivalentcircuitparametersbasedontestdata
AT sergeynkladiev estimationofsubmersibleinductionmotorequivalentcircuitparametersbasedontestdata
AT ivanvrakov estimationofsubmersibleinductionmotorequivalentcircuitparametersbasedontestdata
AT evgeniyvbolovin estimationofsubmersibleinductionmotorequivalentcircuitparametersbasedontestdata
AT vladimirzkovalev estimationofsubmersibleinductionmotorequivalentcircuitparametersbasedontestdata
AT rustamnkhamitov estimationofsubmersibleinductionmotorequivalentcircuitparametersbasedontestdata