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结合模型预测控制与负阻抗补偿并考虑参数不确定性的直流级联系统稳定性增强研究

Enhancing Stability of DC Cascaded Systems With CPLs Using MPC Combined With NI and Accounting for Parameter Uncertainties

语言:

中文摘要

针对直流微电网中恒功率负载(CPL)与直流母线阻抗失配导致的系统不稳定问题,本文提出了一种结合模型预测控制(MPC)与负阻抗(NI)补偿的控制策略,并有效解决了系统参数不确定性带来的鲁棒性挑战。

English Abstract

Compared with the traditional passive- and active-damping techniques for mitigating the impedance mismatch between the input impedance of constant power loads (CPLs) and the output impedance of the dc link within dc microgrids, there is a growing interest in leveraging model predictive control (MPC). MPC is proven to have the advantage of addressing the impedance mismatch issue, which leads to sys...
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SunView 深度解读

该研究对于阳光电源的储能系统(如PowerTitan、PowerStack)及直流微电网解决方案具有重要参考价值。在直流耦合储能系统中,CPL特性常导致母线电压振荡,通过引入MPC与负阻抗补偿策略,可显著提升系统在弱网或复杂负载环境下的稳定性。建议研发团队在PCS控制算法中集成此类鲁棒性MPC策略,以优化系统对直流侧负载波动的响应速度,提升产品在工商业及电网侧储能项目中的电能质量表现。