Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit
Increasing wind power penetration will profoundly impact a power system’s operating mechanism. It is necessary to study a control strategy so that wind farms can use energy storage to improve their controllability to the level of traditional units. Therefore, this paper proposes a control strategy f...
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MDPI AG
2025-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/5/2654 |
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| author | Bin Li Yaping Lu Xuguang Meng Peijie Li |
| author_facet | Bin Li Yaping Lu Xuguang Meng Peijie Li |
| author_sort | Bin Li |
| collection | DOAJ |
| description | Increasing wind power penetration will profoundly impact a power system’s operating mechanism. It is necessary to study a control strategy so that wind farms can use energy storage to improve their controllability to the level of traditional units. Therefore, this paper proposes a control strategy for wind storage systems based on temporal pattern attention (TPA) and bidirectional gated recurrent units (BiGRUs). The control strategy uses BiGRU to extract the time series information between the energy storage output, the actual output of the wind farm, and the energy storage state, which improves the control stability of a wind storage system. At the same time, TPA is introduced to assign different weights to the hidden layer state of the neural network to highlight the importance of local time series information to the current energy storage output, effectively improving the model performance and reducing the control deviation. Finally, the stability and superiority of the proposed control strategy are verified based on an actual wind farm dataset. The economy of the wind storage system with this control strategy improves significantly. |
| format | Article |
| id | doaj-art-88eb8506b3ca4d3b92bae0973c4e76cf |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-88eb8506b3ca4d3b92bae0973c4e76cf2025-08-20T02:59:07ZengMDPI AGApplied Sciences2076-34172025-03-01155265410.3390/app15052654Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent UnitBin Li0Yaping Lu1Xuguang Meng2Peijie Li3Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, ChinaGuangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, ChinaPower China Zhongnan Engineering Co., Ltd., Changsha 410014, ChinaGuangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, ChinaIncreasing wind power penetration will profoundly impact a power system’s operating mechanism. It is necessary to study a control strategy so that wind farms can use energy storage to improve their controllability to the level of traditional units. Therefore, this paper proposes a control strategy for wind storage systems based on temporal pattern attention (TPA) and bidirectional gated recurrent units (BiGRUs). The control strategy uses BiGRU to extract the time series information between the energy storage output, the actual output of the wind farm, and the energy storage state, which improves the control stability of a wind storage system. At the same time, TPA is introduced to assign different weights to the hidden layer state of the neural network to highlight the importance of local time series information to the current energy storage output, effectively improving the model performance and reducing the control deviation. Finally, the stability and superiority of the proposed control strategy are verified based on an actual wind farm dataset. The economy of the wind storage system with this control strategy improves significantly.https://www.mdpi.com/2076-3417/15/5/2654bidirectional gated recurrent unitcontrol strategydata-drivendeep learningwind storage combined system |
| spellingShingle | Bin Li Yaping Lu Xuguang Meng Peijie Li Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit Applied Sciences bidirectional gated recurrent unit control strategy data-driven deep learning wind storage combined system |
| title | Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit |
| title_full | Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit |
| title_fullStr | Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit |
| title_full_unstemmed | Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit |
| title_short | Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit |
| title_sort | joint control strategy of wind storage system based on temporal pattern attention and bidirectional gated recurrent unit |
| topic | bidirectional gated recurrent unit control strategy data-driven deep learning wind storage combined system |
| url | https://www.mdpi.com/2076-3417/15/5/2654 |
| work_keys_str_mv | AT binli jointcontrolstrategyofwindstoragesystembasedontemporalpatternattentionandbidirectionalgatedrecurrentunit AT yapinglu jointcontrolstrategyofwindstoragesystembasedontemporalpatternattentionandbidirectionalgatedrecurrentunit AT xuguangmeng jointcontrolstrategyofwindstoragesystembasedontemporalpatternattentionandbidirectionalgatedrecurrentunit AT peijieli jointcontrolstrategyofwindstoragesystembasedontemporalpatternattentionandbidirectionalgatedrecurrentunit |