多智能体分布式储能两象限SOC一致自适应控制

Multi-agent distributed energy storage double-quadrant SOC consistent adaptive control

为了延长分布式储能单元的使用寿命,采用了一种以分布式储能两象限电池荷电状态(state-of-charge,SOC)一致自适应下垂控制方法为基础的控制方法,改进的两象限自适应下垂控制方法作为一种基础控制方法对各储能单元进行功率分配。当分布式储能处于充电状态时,SOC小的储能单元吸收更多的功率,SOC大的储能单元吸收更少的功率;当分布式储能处于放电状态时,SOC大的储能单元发出更多的功率,SOC小的储能单元发出更少的功率,最终实现分布式储能的SOC和功率的渐近平衡。为了克服由下垂控制引起的电压下垂和直流母线电压不匹配现象,将多智能体技术加到控制策略中。最后基于MATLAB/SIMULINK仿真平台进行仿真,仿真结果表明了所提控制策略的可靠性。

To extend the service life of distributed energy storage units,this paper adopts a control method based on distributed energy storage double-quadrant battery state-of-charge(SOC)consistent adaptive droop control method.The double-quadrant adaptive droop control method is used as a basic control method to distribute power to each energy storage unit.When the distributed energy storage is in charge state,the small SOC energy storage unit absorbs more power,while the large SOC energy storage unit absorbs less power;when the distributed energy storage is in discharge state,the large SOC energy storage unit emits more power,and the small SOC energy storage unit emits less power,which ultimately realizes the gradual balance of SOC and power of distributed energy storage units.In order to overcome the voltage sag and DC bus voltage mismatch caused by droop control,multi-agent technology is added to the control strategy in this paper.Finally,the simulation is carried out based on MATLAB/SIMULINK simulation platform and the simulation results show the reliability of the proposed control strategy.