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Synchronous Machine Parameters Estimation Using Genetic Algorithm Via Dc-Decay Field Tests at Ghom Power Plant

Publish Year: 1383
Type: Conference paper
Language: English
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PSC19_058

Index date: 3 December 2006

Synchronous Machine Parameters Estimation Using Genetic Algorithm Via Dc-Decay Field Tests at Ghom Power Plant abstract

In this paper Dc-Decay procedure and its implementation for the determination of a synchronous machine parameters in the gas units of Ghom power plant is presented. time domain data are acquired from Dc-Decay standstill test measurements. The direct axis and quadrature-axis dynamic parameters are found by 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 with the actual measured signals show the accuracy of the derived models.

Synchronous Machine Parameters Estimation Using Genetic Algorithm Via Dc-Decay Field Tests at Ghom Power Plant Keywords:

DC-Decay Test , Genetic Algorithm Synchronous Generator , Parameter Estimation

Synchronous Machine Parameters Estimation Using Genetic Algorithm Via Dc-Decay Field Tests at Ghom Power Plant authors

Majid Esmi Jahromi

Niroo Research Institute, Tehran, Iran وElectrical Department, Sharif University of Technology, Tehran, Iran

Mohammad Rasouli

Niroo Research Institute, Tehran, Iran

Ali Mohammad Ranjbar

Niroo Research Institute, Tehran, Iran وElectrical Department, Sharif University of Technology, Tehran, Iran

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