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基于无权重变舍入电平控制的MMC-BESS改进定环流SOC均衡策略OA

Improved Fixed Circulating Current SOC Equalization Strategy for MMC-BESS Based on Weight-Independent Variable Rounding Level Control

中文摘要英文摘要

模块化多电平电池储能系统(MMC-BESS)是一种具有高可靠性的变换器系统.针对该系统的传统模型预测控制(MPC)方法存在权重因子整定复杂和计算量大的问题,该文提出一种无权重变舍入电平控制(WI-VRLC)方法.该方法采用输出电流和环流两个独立的代价函数实现了分层控制,既保证了出色的环流性能,又降低了电流总谐波畸变率(THD).在输出电流 MPC层中,上桥臂和下桥臂电压参考值通过变舍入方法得到三组桥臂子模块投入组合,之后利用代价函数选出该阶段的最优桥臂组合.在环流 MPC 层中,环流参考电压采用变舍入方法得到两个用于环流控制的子模块投入数,之后利用代价函数选出最优投入子模块数.该方法在每个采样周期的计算复杂度均为 5 且与子模块数量无关.基于该方法,在荷电状态(SOC)均衡方面改进了定环流法的切换条件,实现了 SOC 差异非均匀分布条件下的 SOC 快速均衡.仿真和实验结果验证了所提方法的有效性.

The model predictive control(MPC)method for modular multilevel converter battery energy storage systems(MMC-BESS)faced challenges such as high computational burden,complex weighting factor tuning,and slow State-of-Charge(SOC)balancing.The conventional variable rounding level control(VRLC)method reduces computational complexity.Still,it failed to eliminate the dependency on weighting factors,resulting in a performance trade-off between output current tracking accuracy and circulating current suppression.Therefore,this paper proposes an improved fixed circulating current SOC equalization strategy based on weight-independent variable rounding level control(WI-VRLC).The strategy ensures low computational burden,eliminates weighting factors,enhances power quality,and achieves fast SOC balancing even under non-uniform inter-phase and inter-arm SOC differences. Two independent cost functions are employed for hierarchical control of output and circulating currents.First,in the output current MPC stage,the reference arm voltage is used to generate three candidate arm combinations through the variable rounding method,with the optimal combination subsequently selected based on evaluation of the output current cost function.In the subsequent circulating current MPC stage,the bridge arm reference voltages for circulating current control are processed through the variable rounding method,yielding two candidate submodule insertion numbers.These are then algebraically combined with the optimal bridge arm combination from the output current MPC stage to produce two new candidate bridge arm combinations.The circulating current cost function is used to evaluate these combinations and determine the optimal number of bridge arm insertions.Finally,the improved constant circulating current SOC balancing strategy calculates the circulating current reference value for SOC balancing,which is incorporated into the circulating current cost function to achieve closed-loop SOC control. Simulations and hardware-in-the-loop(HIL)experiments demonstrate the method's superiority.In simulation results,the steady-state output current total harmonic distortion(THD)decreases from 2.24%to 1.42%(at modulation index=0.9)and from 1.12%to 0.70%(at modulation index=0.45),while maintaining circulating current performance.Dynamic performance tests reveal that the proposed method exhibits slightly better circulating current response than traditional approaches.Both methods demonstrate excellent output current tracking capability.Regarding SOC balancing performance,the proposed method achieves SOC equalization under both non-uniform SOC distribution and extreme unbalanced conditions,while maintaining stable operation during varying grid-connected power levels and grid voltage sag.Experimental results show that the output current THD is reduced by 17%and 19.6%at modulation indices of 0.9 and 0.45,respectively,without compromising SOC balancing speed or circulating current performance. Three conclusions are as follows.(1)The hierarchical control architecture eliminates weighting factor requirements,reduces output current THD by≥17%,and maintains superior circulating current suppression performance.(2)The method's computation remains fixed at five operations per control cycle,regardless of submodule count,thereby ensuring excellent scalability for high-submodule applications.(3)The enhanced fixed circulating current strategy achieves robust SOC balancing under non-uniform SOC distribution conditions.

刘战;李全艮;周桦;付佳伟;林志芳

江苏师范大学电气工程及自动化学院 徐州 221116江苏师范大学电气工程及自动化学院 徐州 221116江苏师范大学电气工程及自动化学院 徐州 221116江苏师范大学电气工程及自动化学院 徐州 221116江苏师范大学电气工程及自动化学院 徐州 221116

信息技术与安全科学

模块化多电平电池储能系统(MMC-BESS)无权重变舍入电平控制(WI-VRLC)模型预测控制(MPC)荷电状态(SOC)均衡

Modular multilevel converter battery energy storage system(MMC-BESS)weight-independent variable rounding level control(WI-VRLC)model predictive control(MPC)state of charge(SOC)balancing

《电工技术学报》 2026 (8)

2718-2734,17

国家自然科学基金资助项目(52577199).

10.19595/j.cnki.1000-6753.tces.250689

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