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.
An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators / Nuzzo, S.; Galea, M.; Gerada, C.; Brown, N. L.. - (2017). (Intervento presentato al convegno 19th International Conference on Electrical Machines and Systems, ICEMS 2016 tenutosi a APA Hotel and Resort Tokyo Bay MakuhariChiba; Japan nel 13 - 16 November 2016).
An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators
Nuzzo S.;
2017
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.
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