State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control
To address the instability of wind power caused by the randomness and intermittency of wind generation, as well as the challenges in power compensation by hybrid energy storage systems (HESSs), this paper proposes a state of charge (SOC) balancing control strategy based on Successive Variational Mod...
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MDPI AG
2024-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/22/5650 |
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| author | Rui Hou Jiqing Liu Jingbo Zhao Jinhui Liu Wenxiang Chen |
| author_facet | Rui Hou Jiqing Liu Jingbo Zhao Jinhui Liu Wenxiang Chen |
| author_sort | Rui Hou |
| collection | DOAJ |
| description | To address the instability of wind power caused by the randomness and intermittency of wind generation, as well as the challenges in power compensation by hybrid energy storage systems (HESSs), this paper proposes a state of charge (SOC) balancing control strategy based on Successive Variational Mode Decomposition and multi-fuzzy control. First, a consensus algorithm is used to enable communication between energy storage units to obtain the global average SOC. Then, the Secretary Bird Optimization Algorithm (SBOA) is applied to optimize the Successive Variational Mode Decomposition (SVMD) and Variational Mode Decomposition (VMD) for the initial allocation of wind power, resulting in the smoothing power for hybrid energy storage and the grid integration power. Finally, considering the deviation between the current SOC of the storage units and the global average SOC, dynamic partitioning is used for multi-fuzzy control to adjust the initial power allocation, achieving SOC balancing control. Simulations of the control strategy were conducted using Matlab/Simulink, and the results indicate that the proposed approach effectively smooths wind power fluctuations, achieving stable grid integration power. It enables the SOC of the HESS to quickly align with the global average SOC, preventing the HESS from entering unhealthy SOC regions. |
| format | Article |
| id | doaj-art-d9bde259d44e44eeb2a0520443a0517f |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Energies |
| spelling | doaj-art-d9bde259d44e44eeb2a0520443a0517f2025-08-20T01:53:45ZengMDPI AGEnergies1996-10732024-11-011722565010.3390/en17225650State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy ControlRui Hou0Jiqing Liu1Jingbo Zhao2Jinhui Liu3Wenxiang Chen4School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaTo address the instability of wind power caused by the randomness and intermittency of wind generation, as well as the challenges in power compensation by hybrid energy storage systems (HESSs), this paper proposes a state of charge (SOC) balancing control strategy based on Successive Variational Mode Decomposition and multi-fuzzy control. First, a consensus algorithm is used to enable communication between energy storage units to obtain the global average SOC. Then, the Secretary Bird Optimization Algorithm (SBOA) is applied to optimize the Successive Variational Mode Decomposition (SVMD) and Variational Mode Decomposition (VMD) for the initial allocation of wind power, resulting in the smoothing power for hybrid energy storage and the grid integration power. Finally, considering the deviation between the current SOC of the storage units and the global average SOC, dynamic partitioning is used for multi-fuzzy control to adjust the initial power allocation, achieving SOC balancing control. Simulations of the control strategy were conducted using Matlab/Simulink, and the results indicate that the proposed approach effectively smooths wind power fluctuations, achieving stable grid integration power. It enables the SOC of the HESS to quickly align with the global average SOC, preventing the HESS from entering unhealthy SOC regions.https://www.mdpi.com/1996-1073/17/22/5650SOC balancing controlsecretary bird optimization algorithmvariational mode decompositionsuccessive variational mode decompositionpower allocationmulti-fuzzy control |
| spellingShingle | Rui Hou Jiqing Liu Jingbo Zhao Jinhui Liu Wenxiang Chen State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control Energies SOC balancing control secretary bird optimization algorithm variational mode decomposition successive variational mode decomposition power allocation multi-fuzzy control |
| title | State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control |
| title_full | State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control |
| title_fullStr | State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control |
| title_full_unstemmed | State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control |
| title_short | State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control |
| title_sort | state of charge balancing control strategy for wind power hybrid energy storage based on successive variational mode decomposition and multi fuzzy control |
| topic | SOC balancing control secretary bird optimization algorithm variational mode decomposition successive variational mode decomposition power allocation multi-fuzzy control |
| url | https://www.mdpi.com/1996-1073/17/22/5650 |
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