State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control

Rui Hou (), Jiqing Liu, Jingbo Zhao, Jinhui Liu and Wenxiang Chen
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Rui Hou: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
Jiqing Liu: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
Jingbo Zhao: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
Jinhui Liu: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
Wenxiang Chen: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China

Energies, 2024, vol. 17, issue 22, 1-26

Abstract: 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.

Keywords: SOC balancing control; secretary bird optimization algorithm; variational mode decomposition; successive variational mode decomposition; power allocation; multi-fuzzy control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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