Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller
In wind energy conversion system, variable speed operation is becoming popular nowadays, where conventional synchronous generators, permanent magnet synchronous generators, and doubly fed induction generators are commercially used as wind generators. Along with the existing and classical solutions o...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/7540 |
| _version_ | 1848745397673000960 |
|---|---|
| author | Hasanien, H. Muyeen, S.M. |
| author_facet | Hasanien, H. Muyeen, S.M. |
| author_sort | Hasanien, H. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In wind energy conversion system, variable speed operation is becoming popular nowadays, where conventional synchronous generators, permanent magnet synchronous generators, and doubly fed induction generators are commercially used as wind generators. Along with the existing and classical solutions of the aforementioned machines used in wind power applications, the switched reluctance generator (SRG) can also be considered as a wind generator due to its inherent characteristics such as simple construction, robustness, low manufacturing cost, etc. This paper presents a novel speed control of switched reluctance generator by using adaptive neural network (ANN) controller. The SRG is driven by variable speed wind turbine and it is connected to the grid through an asymmetric half bridge converter, DC-link, and DC-AC inverter system. Speed control is very important for variable speed operation of SRG to ensure maximum power delivery to the grid for any particular wind speed. Detailed modeling and control strategies of SRG as well as other individual components including wind turbine, converter, and inverter systems are presented. The effectiveness of the proposed system is verified with simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is carried out using PSCAD/EMTDC. |
| first_indexed | 2025-11-14T06:16:43Z |
| format | Journal Article |
| id | curtin-20.500.11937-7540 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:16:43Z |
| publishDate | 2012 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-75402024-05-22T08:48:57Z Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller Hasanien, H. Muyeen, S.M. In wind energy conversion system, variable speed operation is becoming popular nowadays, where conventional synchronous generators, permanent magnet synchronous generators, and doubly fed induction generators are commercially used as wind generators. Along with the existing and classical solutions of the aforementioned machines used in wind power applications, the switched reluctance generator (SRG) can also be considered as a wind generator due to its inherent characteristics such as simple construction, robustness, low manufacturing cost, etc. This paper presents a novel speed control of switched reluctance generator by using adaptive neural network (ANN) controller. The SRG is driven by variable speed wind turbine and it is connected to the grid through an asymmetric half bridge converter, DC-link, and DC-AC inverter system. Speed control is very important for variable speed operation of SRG to ensure maximum power delivery to the grid for any particular wind speed. Detailed modeling and control strategies of SRG as well as other individual components including wind turbine, converter, and inverter systems are presented. The effectiveness of the proposed system is verified with simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is carried out using PSCAD/EMTDC. 2012 Journal Article http://hdl.handle.net/20.500.11937/7540 10.1016/j.epsr.2011.11.019 Elsevier BV fulltext |
| spellingShingle | Hasanien, H. Muyeen, S.M. Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller |
| title | Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller |
| title_full | Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller |
| title_fullStr | Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller |
| title_full_unstemmed | Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller |
| title_short | Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller |
| title_sort | speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller |
| url | http://hdl.handle.net/20.500.11937/7540 |