Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak Shaving
In order to achieve the goals of carbon neutrality, large-scale storage of renewable energy sources has been integrated into the power grid. Under these circumstances, the power grid faces the challenge of peak shaving. Therefore, this paper proposes a coordinated variable-power control strategy for...
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MDPI AG
2025-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/15/8656 |
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| author | Peiyu Chen Wenqing Cui Jingan Shang Bin Xu Chao Li Danyang Lun |
| author_facet | Peiyu Chen Wenqing Cui Jingan Shang Bin Xu Chao Li Danyang Lun |
| author_sort | Peiyu Chen |
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| description | In order to achieve the goals of carbon neutrality, large-scale storage of renewable energy sources has been integrated into the power grid. Under these circumstances, the power grid faces the challenge of peak shaving. Therefore, this paper proposes a coordinated variable-power control strategy for multiple battery energy storage stations (BESSs), improving the performance of peak shaving. Firstly, the strategy involves constructing an optimization model incorporating load forecasting, capacity constraints, and security indices to design a coordination mechanism tracking the target load band with the equivalent power. Secondly, it establishes a quantitative evaluation system using metrics such as peak–valley difference and load standard deviation. Comparison based on typical daily cases shows that, compared with the constant power strategy, the coordinated variable-power control strategy has a more obvious and comprehensive improvement in overall peak-shaving effects. Furthermore, it employs a “dynamic dispatch of multiple BESS” mode, effectively mitigating the risks and flexibility issues associated with single BESSs. This strategy provides a reliable new approach for large-scale energy storage to participate in high-precision peaking. |
| format | Article |
| id | doaj-art-a236f7699a8a4e09865eef7733b98778 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-a236f7699a8a4e09865eef7733b987782025-08-20T03:36:35ZengMDPI AGApplied Sciences2076-34172025-08-011515865610.3390/app15158656Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak ShavingPeiyu Chen0Wenqing Cui1Jingan Shang2Bin Xu3Chao Li4Danyang Lun5Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, ChinaElectric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, ChinaElectric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, ChinaElectric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, ChinaNational Industry-Education Platform for Energy Storage, Tianjin University, Tianjin 300354, ChinaNational Industry-Education Platform for Energy Storage, Tianjin University, Tianjin 300354, ChinaIn order to achieve the goals of carbon neutrality, large-scale storage of renewable energy sources has been integrated into the power grid. Under these circumstances, the power grid faces the challenge of peak shaving. Therefore, this paper proposes a coordinated variable-power control strategy for multiple battery energy storage stations (BESSs), improving the performance of peak shaving. Firstly, the strategy involves constructing an optimization model incorporating load forecasting, capacity constraints, and security indices to design a coordination mechanism tracking the target load band with the equivalent power. Secondly, it establishes a quantitative evaluation system using metrics such as peak–valley difference and load standard deviation. Comparison based on typical daily cases shows that, compared with the constant power strategy, the coordinated variable-power control strategy has a more obvious and comprehensive improvement in overall peak-shaving effects. Furthermore, it employs a “dynamic dispatch of multiple BESS” mode, effectively mitigating the risks and flexibility issues associated with single BESSs. This strategy provides a reliable new approach for large-scale energy storage to participate in high-precision peaking.https://www.mdpi.com/2076-3417/15/15/8656battery energy storage stationspeak shavingpower gridvariable powercontrol strategy |
| spellingShingle | Peiyu Chen Wenqing Cui Jingan Shang Bin Xu Chao Li Danyang Lun Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak Shaving Applied Sciences battery energy storage stations peak shaving power grid variable power control strategy |
| title | Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak Shaving |
| title_full | Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak Shaving |
| title_fullStr | Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak Shaving |
| title_full_unstemmed | Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak Shaving |
| title_short | Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak Shaving |
| title_sort | control strategy of multiple battery energy storage stations for power grid peak shaving |
| topic | battery energy storage stations peak shaving power grid variable power control strategy |
| url | https://www.mdpi.com/2076-3417/15/15/8656 |
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