Design of A Two-Stage Control Strategy of Vanadium Redox Flow Battery Energy Storage Systems for Grid Application
Design of A Two-Stage Control Strategy of Vanadium Redox Flow Battery Energy Storage Systems for Grid Application
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DOI：
10.1109/tste.2022.3181751
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发表时间：
2022-10
影响因子：
8.8
通讯作者：
Binyu Xiong;Jinrui Tang;Yang Li;C. Xie;Zi-Ren Wang;Xinan Zhang;Hoay Beng Gooi
中科院分区：
文献类型：
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作者：
Binyu Xiong;Jinrui Tang;Yang Li;C. Xie;Zi-Ren Wang;Xinan Zhang;Hoay Beng Gooi
全钒液流电池系统能量转换效率低，给其在电网中的实际应用带来了挑战。低效率主要是由于相当大的过电位和寄生损耗的VRB细胞时，提供高动态充电和放电的电网调节功率。除了材料和结构的进步，在操作策略的改进是同样重要的，以实现预期的高性能VRB系统，虽然优化的解决方案还没有充分利用在现有的研究。在本文中，一个两阶段的控制策略，从而开发了一个建议和实验验证的多物理场多时间尺度的电-热-液VRB模型的基础上。具体地，在第一阶段中，基于在线优化获得VRB的最优流量，以减小寄生损失并提高瞬时系统效率，并且结果用作反馈流量控制器的设定点。在第二阶段，双时间尺度被特别考虑。电流和流量控制器旨在满足电网连接应用的高度变化的功率需求。在平滑风力发电的情况下，验证了所提出的控制策略的有效性。对比研究表明，与主流方法相比，在跟踪用于在线电池控制的理论最优功率分布方面可以实现更高的效率。
The low energy conversion efficiency of the vanadium redox flow battery (VRB) system poses a challenge to its practical applications in grid systems. The low efficiency is mainly due to the considerable overpotentials and parasitic losses in the VRB cells when supplying highly dynamic charging and discharging power for grid regulation. Apart from material and structural advancements, improvements in operating strategies are equally essential for achieving the expected high-performance VRB system, although an optimized solution has not been fully exploited in the existing studies. In this paper, a two-stage control strategy is thus developed based on a proposed and experimental validated multi-physics multi-time-scale electro-thermo-hydraulic VRB model. Specifically, in the first stage, the optimal flow rate of the VRB is obtained based on online optimization to reduce parasitic loss and enhance instantaneous system efficiency, and the result serves as the set point of a feedback flow rate controller. In the second stage, dual time scales are specifically considered. And the current and flow rate controllers are designed to meet the highly varying power demands for grid-connected applications. The effectiveness of the proposed control strategy is verified under a scenario to smooth wind power generation. Comparative studies show that compared to the prevailing approaches, higher efficiency can be achieved in tracking the theoretical optimal power profiles for online battery control.