A New Method for Estimation of Large Synchronous Generator Parameters by Genetic Algorithm

نویسندگان

  • Taher Niknam
  • Bahman Bahmani Firouzi
چکیده

In this paper possibility of synchronous generator dynamic parameters estimation via On-Line Field Tests using Genetic Algorithm in a 400MVA synchronous generator in BISOTUN power plant in IRAN has been presented and simulated. On-Line (RTDR) time domain data are acquired by generator disturbance simulation. The direct and quadrature-axis dynamic parameters are found by processing the step response of the synchronous machine at rotating state. Genetic algorithm approach is employed to identify the desired parameters. This test procedure increases the required power and the testing time; but presents a good and reliable precision because of the high flux level and rotating condition.

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تاریخ انتشار 2013