Possibility of large synchronous generator parameters estimation via on-line field tests using genetic algorithm

被引：0

作者：

Jahromi, M. Esmi ^{[1
]}

Firouzi, B. Bahmani ^{[2
]}

Ranjbar, A. M. ^{[3
]}

机构：

[1] Azad Univ, Dept Engn, Saveh Branch, Saveh, Iran

[2] Fars Reg Elect Co, Dept Power Syst Studies, Shiraz, Iran

[3] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran

来源：

2006 IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2 | 2006年

关键词：

genetic algorithm; on-line test; parameter estimation; synchronous generator;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：116 / +

页数：2

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