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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shi Yun-tao Qiao Shu-juan Hou Yan-jiao Li Zhi-jun Sun De-hui |
| Copyright Year | 2014 |
| Description | Author affiliation: Key Lab. of Field Bus & Autom. of Beijing, North China Univ. of Technol., Beijing, China (Shi Yun-tao; Qiao Shu-juan; Hou Yan-jiao; Li Zhi-jun; Sun De-hui) |
| Abstract | The main contribution of this paper is the development of hybrid model predictive control and fault detection strategy for wind energy conversion system (WECS) based on mixed logic dynamic (MLD) model framework. The MLD model for WECS including multiple work regions is established. Also the hybrid model predictive control method based on the MLD model of WECS is adopted to implement the variable speed constant frequency control and variable pitch control for the optimal power tracking. The mixed logic dynamic fault (MLDF) model is also established for generator speed sensor fault and the pitch actuator fault of WECS. Moving horizon estimation (MHE) method is applied to estimate the fault states of WECS based on MLDF model of WECS. The performance and the efficiency of the proposed approaches validated via simulations. |
| Starting Page | 782 |
| Ending Page | 788 |
| File Size | 2383044 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479937073 |
| e-ISBN | 9781479937080 |
| DOI | 10.1109/CCDC.2014.6852271 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-31 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fault Detection Wind energy Fault detection Wind speed Predictive models Moving Horizon Estimation Generators Wind Energy Convert System Hybrid Model Predictive Control Mathematical model Predictive control |
| Content Type | Text |
| Resource Type | Article |
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