Synchronous generator parameters estimation using genetic algorithm via DC decay field tests

M. Esmi Jahromi; Mohammad Rasouli; M. Ranjbar

doi:10.1109/PTC.2005.4524728

Synchronous generator parameters estimation using genetic algorithm via DC decay field tests

M. Esmi Jahromi, Mohammad Rasouli, M. Ranjbar

School of Engineering (Behrend)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In this paper Dc-Decay procedure and its implementation for determining synchronous machine parameters at gas units of Ghom power plant is presented. Dc-Decay time domain data are acquired from standstill test measurements. The direct axis and quadrature-axis dynamic parameters are found through processing the step response of the synchronous machine at standstill position. Genetic algorithm approach is employed to identify the desired parameters. This test procedure reduces the required power and minimizes the testing time; but presents a limited precision because of the low flux level and standstill condition. The simulation results and their comparison to the actual measured signals show the accuracy of the derived models.

Original language	English (US)
Title of host publication	2005 IEEE Russia Power Tech, PowerTech
DOIs	https://doi.org/10.1109/PTC.2005.4524728
State	Published - Dec 1 2005
Event	2005 IEEE Russia Power Tech, PowerTech - St. Petersburg, Russian Federation Duration: Jun 27 2005 → Jun 30 2005

Publication series

Name	2005 IEEE Russia Power Tech, PowerTech

Other

Other	2005 IEEE Russia Power Tech, PowerTech
Country/Territory	Russian Federation
City	St. Petersburg
Period	6/27/05 → 6/30/05

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Nuclear Energy and Engineering

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10.1109/PTC.2005.4524728

Cite this

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title = "Synchronous generator parameters estimation using genetic algorithm via DC decay field tests",

abstract = "In this paper Dc-Decay procedure and its implementation for determining synchronous machine parameters at gas units of Ghom power plant is presented. Dc-Decay time domain data are acquired from standstill test measurements. The direct axis and quadrature-axis dynamic parameters are found through processing the step response of the synchronous machine at standstill position. Genetic algorithm approach is employed to identify the desired parameters. This test procedure reduces the required power and minimizes the testing time; but presents a limited precision because of the low flux level and standstill condition. The simulation results and their comparison to the actual measured signals show the accuracy of the derived models.",

author = "{Esmi Jahromi}, M. and Mohammad Rasouli and M. Ranjbar",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/PTC.2005.4524728",

language = "English (US)",

isbn = "9781424418749",

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note = "2005 IEEE Russia Power Tech, PowerTech ; Conference date: 27-06-2005 Through 30-06-2005",

}

TY - GEN

T1 - Synchronous generator parameters estimation using genetic algorithm via DC decay field tests

AU - Esmi Jahromi, M.

AU - Rasouli, Mohammad

AU - Ranjbar, M.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - In this paper Dc-Decay procedure and its implementation for determining synchronous machine parameters at gas units of Ghom power plant is presented. Dc-Decay time domain data are acquired from standstill test measurements. The direct axis and quadrature-axis dynamic parameters are found through processing the step response of the synchronous machine at standstill position. Genetic algorithm approach is employed to identify the desired parameters. This test procedure reduces the required power and minimizes the testing time; but presents a limited precision because of the low flux level and standstill condition. The simulation results and their comparison to the actual measured signals show the accuracy of the derived models.

AB - In this paper Dc-Decay procedure and its implementation for determining synchronous machine parameters at gas units of Ghom power plant is presented. Dc-Decay time domain data are acquired from standstill test measurements. The direct axis and quadrature-axis dynamic parameters are found through processing the step response of the synchronous machine at standstill position. Genetic algorithm approach is employed to identify the desired parameters. This test procedure reduces the required power and minimizes the testing time; but presents a limited precision because of the low flux level and standstill condition. The simulation results and their comparison to the actual measured signals show the accuracy of the derived models.

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DO - 10.1109/PTC.2005.4524728

M3 - Conference contribution

AN - SCOPUS:51549110982

SN - 9781424418749

T3 - 2005 IEEE Russia Power Tech, PowerTech

BT - 2005 IEEE Russia Power Tech, PowerTech

T2 - 2005 IEEE Russia Power Tech, PowerTech

Y2 - 27 June 2005 through 30 June 2005

ER -

Synchronous generator parameters estimation using genetic algorithm via DC decay field tests

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