摘要
模块化多电平变换器(Modular Multilevel Converter,MMC)与电池储能系统相结合,既保留了MMC易于扩展,电压等级高等特性,也能借助储能单元为系统提供有功和无功功率,进而改善电能质量。本文以模块化多电平变换器电池储能系统为研究对象,建立系统输出电流与环流的多目标控制函数,并结合在线优化方法获取最佳权重因子,进行寻优计算。然后根据求得的储能模块的投入数,对桥臂内部储能模块进行SOC值的排序,最终输出系统当前时刻最佳投切状态。所提方法对系统输出电流与环流有良好的控制效果,同时可实现电池储能系统三相间、上下桥臂间以及桥臂内模块间的SOC均衡。仿真实验验证了所提控制策略的有效性与可行性。
The integration of modular multilevel converter(MMC)with battery energy storage systems(BESS)preserves the inherent advantages of MMC,such as modular scalability and high-voltage capability,while leveraging energy storage units to provide active and reactive power support for enhanced power quality.This study focuses on an MMC-based BESS,establishing a multi-objective control framework to simultaneously regulate output current and circulating current.An online optimiza-tion method is employed to dynamically determine optimal weighting factors for Pareto-frontier tracking.Subsequently,the number of activated battery submodules is calculated based on energy requirements,followed by a state-of-charge(SOC)-sorting algorithm to prioritize submodule switch-ing actions within each arm.The proposed strategy demonstrates precise current tracking capabil-ity while achieving SOC balancing across three critical dimensions:inter-phase,upper-lower arm,and intra-arm module levels.Simulation studies validate the effectiveness and feasibility of the con-trol methodology in harmonizing power delivery and energy management objectives.
作者
王嘉豪
Jiahao Wang(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai)
出处
《建模与仿真》
2025年第4期656-664,共9页
Modeling and Simulation
关键词
模块化多电平变换器
电池储能系统
模型预测控制
荷电状态
Modular Multilevel Converter
Battery Energy Storage System
Model Predictive Control
State of Charge
