A PSO-based approach for parameter estimation in synchronous machines

This study employs the particle swarm optimization (PSO) approach using Stand Still Frequency Responses Testing (SSFR) to identify the time constants (poles and zeros) of the operational inductances along the d and q axes, as well as the parameters of the equivalent circuits for the SSFR1, SSFR2, an...

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Bibliographic Details
Published inSerbian journal of electrical engineering Vol. 22; no. 2; pp. 201 - 221
Main Authors Leguebedj, Farid, Benmahamed, Youcef, Boukhetala, Djamel, Boughrara, Kamel
Format Journal Article
LanguageEnglish
Published Faculty of Technical Sciences in Cacak 01.01.2025
Subjects
equivalent circuit
parameters identification
ssfr tests
synchronous machine
times constants
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ISSN1451-4869
2217-7183
2217-7183
DOI10.2298/SJEE2502201L

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Summary:This study employs the particle swarm optimization (PSO) approach using Stand Still Frequency Responses Testing (SSFR) to identify the time constants (poles and zeros) of the operational inductances along the d and q axes, as well as the parameters of the equivalent circuits for the SSFR1, SSFR2, and SSFR3 synchronous machine models. The difference between the frequency responses of the identified and simulated models at a standstill is minimized using a quadratic criterion in this method. The SSFR3 model accurately represents the synchronous machine, and simulation results show that the PSO approach is effective in terms of convergence rate and offers ideal solutions.
ISSN:1451-4869
2217-7183
2217-7183
DOI:10.2298/SJEE2502201L