Fuzzy adaptive virtual inertia control of energy storage systems considering SOC constraints
Xiaoyi Zhang, Dacheng Li, Zhaoxiang Yang, Lin Tian, Jianhui Meng, Yuan Liu, Chao Fu
Abstract
Energy storage systems based on virtual synchronous control provide virtual inertia to the power system to stabilize the frequency of the grid while smoothing out system power fluctuations, and the constraining effect of the energy storage state of charge (SOC) has a significant impact on regulating virtual inertia and damping. For this reason, this paper proposes a method for fuzzy adaptive virtual inertia control of energy storage systems considering SOC to avoid deep over-charging and over-discharging of energy storage units, which can effectively extend the working life of energy storage. Finally, the effectiveness of the proposed control strategy is verified by hardware-in-the-loop experiments.