基于多智能体的电池储能系统SOC均衡控制策略

SOC Balanced Control Strategy for Battery Energy Storage system Based on Multiple-Agent

针对应用二级频率控制器来解决分布式电池储能系统中SOC(荷电状态)的一致性问题,提出一种基于多智能体与下垂控制相结合的SOC均衡控制方法。该方法在不需要中心控制器的情况下,实现多电池储能系统的SOC一致性,不仅能够实现不同容量电池SOC的均衡控制,还能提高交流母线频率的稳态偏差。考虑电池长期使用带来的容量衰减,设计了相应的自适应容量估计算法用于消除扰动。在包含3个电池储能系统和恒功率负载的孤岛交流微电网仿真平台上进行实验,验证了所提方法的有效性。

Aiming at the application of a secondary frequency controller to solve the state of charge(SOC)consistency problem in a distributed battery energy storage system, a SOC balanced control method based on the combination of multi-agent and droop control was proposed. The method can achieve the SOC consistency of a multi-battery energy storage system without the need for a central controller, which can not only achieve balanced control of battery SOC with different capacities but improve the steady-state deviation of the AC bus frequency. Given the battery capacity attenuation due to long-term use of the battery, a corresponding adaptive capacity algorithm is designed to eliminate disturbances. Finally, the effectiveness of the proposed method is verified on an island AC microgrid simulation platform consisting of three battery energy storage systems and constant power loads.