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Identification of synchronous generator parameters based on 3-phase sudden short-circuit current

  • Chaoxian Han
  • , Xinzhen Wu*
  • , Ping Ma
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel computation method for the identification of synchronous generator parameters based on simulated data of 3-phase sudden short-circuit current is described. The 3-phase sudden short-circuit current data is simulated by MATLAB. Considering optimization of multidimensional parameters and solution of nonlinear equations, the particle swarm optimization (PSO) algorithm and improved Euler method are employed. Since the identification process of direct axis parameters is identical with that of quadrature axis parameters for the cylindrical synchronous generator, only the direct axis parameters identification is given. The comparison between identified values and real values proves the correctness of the method.

Original languageEnglish
Title of host publicationDRPT 2011 - 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies
Pages959-962
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT 2011 - Weihai, Shandong, China
Duration: 6 Jul 20119 Jul 2011

Publication series

NameDRPT 2011 - 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

Conference

Conference2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT 2011
Country/TerritoryChina
CityWeihai, Shandong
Period6/07/119/07/11

Keywords

  • 3-phase sudden short-circuit
  • Synchronous Generator
  • parameters identification
  • particle swarm optimization

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