摘要
针对直流微电网混合储能系统(hybrid energy storage system,HESS),提出了一种兼顾其储能荷电状态(state of charge,SOC)、直流母线电压稳定和响应速度的能量管理和联合控制策略。提出了含功率分配环节的虚拟直流电机(virtual DC machine,VDCM)控制策略,并通过小信号模型验证了策略的稳定性。根据SOC均衡性和控制充放电深度的能量管理需求,提出了根据储能SOC改变滤波时间常数的自适应功率分配策略。将模型预测控制(model predictive control,MPC)应用于VDCM控制电流内环以进一步提高系统响应速度,并引入反馈校正环节以优化控制。仿真结果验证了所提策略可延长储能单元的使用寿命,联合控制策略还增强了系统稳定性,提升了动态响应速度。
This paper proposes an energy management and joint control strategy for hybrid energy storage system(HESS),which takes into account the state of charge(SOC)of energy storage,DC bus voltage stability and response speed.Firstly,the VDCM control strategy with power allocation is proposed,and the stability of the strategy is verified by the small signal model.Then,according to the SOC balance and the energy management requirements for controlling the charge and discharge depth,an adaptive power allocation strategy that changes the filter time constant according to the energy storage SOC is proposed.Finally,model predictive control(MPC)is applied to the current inner loop to further improve the system response speed,and the feedback correction is introduced to optimize the control.The simulation results verify that the proposed strategy not only prolongs the service life of the energy storage unit by controlling the depth of charge and discharge,but also enhances the stability of the system and improves the dynamic response speed.
作者
刘勇
李腾
赵丹阳
王涛
王丽丽
云飞
LIU Yong;LI Teng;ZHAO Danyang;WANG Tao;WANG Lili;YUN Fei(Tangshan Power Supply Company of State Grid Jibei Electric Power Co.,Ltd.,Tangshan 063000,China;School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China)
出处
《供用电》
2022年第9期68-75,82,共9页
Distribution & Utilization
基金
国家重点研发计划项目(2018YFB2100104)
国网冀北电力有限公司科技项目(5201031900TM)。
关键词
混合储能系统
虚拟直流电机
功率分配
荷电状态
能量管理
模型预测控制
hybrid energy storage system
virtual DC machine
power allocation
state of charge
energy management
model predictive control
