@inproceedings{f802e1f76be84ab7a8390deea6b77dbe,
title = "An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators",
abstract = "The sizing procedures adopted for the everyday design of electrical machines are well known and consolidated. However, for brushless exciters of field wound, synchronous generators, there is significant room for improvement as the impact of the diodes' commutations in the rotating bridge rectifier are often neglected. This paper deals with the development of a fast analytical, genetic-algorithm-based design tool for the excitation systems of salient-pole, field wound synchronous generators. As vessel for this study, the exciter of a particular 400kVA is considered. The proposed tool is focused on achieving exciter designs that minimize the voltage drop due to the commutation processes in the rotating diode rectifier, with minimum impact on the overall efficiency.",
keywords = "Commutations, Diode Rectifier, Excitation System, Synchronous Generator",
author = "S. Nuzzo and M. Galea and C. Gerada and Brown, {N. L.}",
note = "Publisher Copyright: {\textcopyright} 2016 The Institute of Electrical Engineers of Japan.; 19th International Conference on Electrical Machines and Systems, ICEMS 2016 ; Conference date: 13-11-2016 Through 16-11-2016",
year = "2017",
month = jan,
day = "30",
language = "English",
series = "19th International Conference on Electrical Machines and Systems, ICEMS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "19th International Conference on Electrical Machines and Systems, ICEMS 2016",
address = "United States",
}