An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators
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 a...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/38604/ |
| _version_ | 1848795650194407424 |
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| author | Nuzzo, Stefano Galea, Michael Gerada, C. Brown, N.L. |
| author_facet | Nuzzo, Stefano Galea, Michael Gerada, C. Brown, N.L. |
| author_sort | Nuzzo, Stefano |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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 400kVAis 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. |
| first_indexed | 2025-11-14T19:35:27Z |
| format | Conference or Workshop Item |
| id | nottingham-38604 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:35:27Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-386042020-05-04T17:48:46Z https://eprints.nottingham.ac.uk/38604/ An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators Nuzzo, Stefano Galea, Michael Gerada, C. Brown, N.L. 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 400kVAis 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. 2016-06-01 Conference or Workshop Item PeerReviewed Nuzzo, Stefano, Galea, Michael, Gerada, C. and Brown, N.L. (2016) An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators. In: 19th International Conference on Electrical Machines and Systems, 13-16 Nov 2016, Chiba, Japan. Synchronous Generator Excitation System Diode Rectifier Commutations |
| spellingShingle | Synchronous Generator Excitation System Diode Rectifier Commutations Nuzzo, Stefano Galea, Michael Gerada, C. Brown, N.L. An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators |
| title | An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators |
| title_full | An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators |
| title_fullStr | An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators |
| title_full_unstemmed | An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators |
| title_short | An analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators |
| title_sort | analytical and genetic-algorithm-based design tool for brushless excitation systems of low-medium rated synchronous generators |
| topic | Synchronous Generator Excitation System Diode Rectifier Commutations |
| url | https://eprints.nottingham.ac.uk/38604/ |