Parallel control of vanadium flow battery considering state of health

doi:10.19799/j.cnki.2095-4239.2025.0090

Abstract

Abstract:

The traditional droop control strategy for energy storage systems does not consider the state of health (SOH); thus, it does not ensure SOH balance and may intensify disparities among modules. To ensure the stable operation of DC microgrids and maintain power balance in energy storage systems, there is a need for a control strategy for parallel energy storage systems that incorporates the SOH of the storage modules. Herein, we propose an improved droop control method that considers SOH as a control strategy for parallel energy storage systems. The proposed method employs a secondary compensation mechanism to reduce bus voltage drop. Furthermore, we developed an improved droop control model. We evaluated the effectiveness of the secondary compensation mechanism in maintaining system voltage stability and examined the impact of the exponential factor n on the speed of power balancing. The proposed strategy was validated through MATLAB/Simulink simulations, demonstrating its effectiveness in vanadium flow battery (VFB) parallel energy storage systems. This study provides a promising approach for improving the accuracy and efficiency of energy storage system management in DC microgrids.

Key words: vanadium flow battery, droop control, SOH, parallel control

CLC Number:

TP 91

Hong ZHANG, Jinzhong LI, Xin LI, Yuan ZHANG. Parallel control of vanadium flow battery considering state of health[J]. Energy Storage Science and Technology, 2025, 14(6): 2442-2450.

Figures/Tables 17

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Table 1

Parameter table for parallel system simulation"

参数名称	参数值	参数名称	参数值
SOC₁初始值	0.9	变换器功率/kW	6
SOC₂初始值	0.8	变换器开关频率/kHz	10
SOC₃初始值	0.7	电容 $C 1 、 C 2 / μ F$	3900
VFB功率/kW	6	变换器电感 $L / m H$	2
线阻 $R l i n e 1 / Ω$	0.8	母线电压 $U r e f / V$	200
线阻 $R l i n e 2 / Ω$	1	负载额定功率/kW	12
线阻 $R l i n e 3 / Ω$	1.2	负载电阻 $R l o a d / Ω$	3.33

Table 1

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Fig. 15

Table 2

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