A method of flow battery control system based on event-driven technology
练润哲 1董树锋1
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作者信息
1. 浙江大学电气工程学院,浙江杭州 310027
折叠
摘要
液流电池具有充放电循环次数大、容量高及寿命长等优点,是长时大规模储能的理想选择,但是其复杂的结构对电池控制系统的要求较高,传统开发方式难以满足其多样的控制需求,因此提出精准度更高、实时性更好的基于事件驱动技术的液流电池控制系统开发方法.首先针对液流电池稳定性需求高、内部损耗大等问题,提出了主/辅助电堆协同架构,并对该架构系统进行建模分析;然后基于事件驱动技术对控制系统进行模块化设计,包括柔性充放电控制、辅助电堆参与的黑启动控制、基于卡尔曼滤波的电池荷电状态(state of charge,SOC)估计等;最后搭建半实物仿真平台,对所提架构和策略进行验证,证明了该架构和策略能提高系统的能量转换效率和稳定性.
Abstract
Flow battery is an ideal choice for long-term and large-scale energy storage due to its advantages of numerous charge-discharge cycles,high capacity and long lifespan.However,the flow battery's complex structure poses high demands on battery control system,and traditional development methods are challenging to meet the flow battery system's diverse control requirements.To address this problem,a method for developing a flow battery control system based on event-driven technology is proposed,which aims to improve control precision and real-time performance.The proposed approach firstly presents a main-auxiliary stack synergistic architecture to address issues such as high stability requirements and large internal losses of flow batteries,and the architecture is modeled and analyzed.Then,the control system is designed by modularization based on event-driven technology,including the modules of flexible charging-discharging control,black start-up control strategy with auxiliary stacks,and state of charge(SOC)estimation based on Kalman filtering.Finally,a semi-physical simulation platform is built to validate the proposed architecture and strategies,which demonstrates that the proposed architecture and strategies can improve the energy conversion efficiency and stability of the system.
关键词
液流电池/事件驱动/储能/柔性充放电控制/卡尔曼滤波/电池荷电状态(SOC)估计/黑启动
Key words
flow battery/event-driven/energy storage/flexible charge-discharge control/Kalman filtering/state of charge(SOC)estimation/black start-up
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