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OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN)

Year 2004, Volume: 4 Issue: 1, 1113 - 1117, 28.12.2011

Didem Erdoğan Neriman Serıfoglu Mukden Ugur Osman Nuri Ucan

Abstract

Disturbances in electrical power system cause imbalances in electromechanical and mechanical torque of all machines. These imbalances result in oscillations between synchronous generators. In order to damp these oscillations, the stability analysis has been performed on a one machine system by using some regulator gain coefficients, which should eventually improve the recovery time after a system failure. The boundaries of the coefficients are initially defined and only some coefficients among all the calculated parameters are selected for test purposes. By measuring and recording the regulator terminal voltage continuously, some regulator parameters has been determined which finally help in optimizing the system stability by using Artificial Neural Networks.

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Year 2004, Volume: 4 Issue: 1, 1113 - 1117, 28.12.2011

Didem Erdoğan Neriman Serıfoglu Mukden Ugur Osman Nuri Ucan

Abstract

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Details

Primary Language English
Journal Section Articles
Authors

Didem Erdoğan This is me

Neriman Serıfoglu This is me

Mukden Ugur This is me

Osman Nuri Ucan This is me

Publication Date December 28, 2011
Published in Issue Year 2004 Volume: 4 Issue: 1

Cite

APA Erdoğan, D., Serıfoglu, N., Ugur, M., Ucan, O. N. (2011). OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN). IU-Journal of Electrical & Electronics Engineering, 4(1), 1113-1117.
AMA Erdoğan D, Serıfoglu N, Ugur M, Ucan ON. OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN). IU-Journal of Electrical & Electronics Engineering. December 2011;4(1):1113-1117.
Chicago Erdoğan, Didem, Neriman Serıfoglu, Mukden Ugur, and Osman Nuri Ucan. “OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN)”. IU-Journal of Electrical & Electronics Engineering 4, no. 1 (December 2011): 1113-17.
EndNote Erdoğan D, Serıfoglu N, Ugur M, Ucan ON (December 1, 2011) OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN). IU-Journal of Electrical & Electronics Engineering 4 1 1113–1117.
IEEE D. Erdoğan, N. Serıfoglu, M. Ugur, and O. N. Ucan, “OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN)”, IU-Journal of Electrical & Electronics Engineering, vol. 4, no. 1, pp. 1113–1117, 2011.
ISNAD Erdoğan, Didem et al. “OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN)”. IU-Journal of Electrical & Electronics Engineering 4/1 (December 2011), 1113-1117.
JAMA Erdoğan D, Serıfoglu N, Ugur M, Ucan ON. OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN). IU-Journal of Electrical & Electronics Engineering. 2011;4:1113–1117.
MLA Erdoğan, Didem et al. “OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN)”. IU-Journal of Electrical & Electronics Engineering, vol. 4, no. 1, 2011, pp. 1113-7.
Vancouver Erdoğan D, Serıfoglu N, Ugur M, Ucan ON. OPTIMIZATION THE REGULATION PARAMETERS OF A SYNCHRONOUS GENERATOR BY USING ARTIFICIAL NEURAL NETWORKS (ANN). IU-Journal of Electrical & Electronics Engineering. 2011;4(1):1113-7.
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