The problem of voltage recovery (VR) and current sharing has been a hot concern in the field of dc microgrids (MGs). The effort of this article is to design a secondary controller based on a model that reflects the circuit and bottom-level control characteristics of dc MGs with resistive-inductive lines to accomplish the above regulation tasks. Specifically, this article first establishes a fully actuated model for the output current based on an integrated model of the MG, which is not only simple in form but also captures the dynamics of the actual power system. Then, based on the created physical principle model, a distributed optimal fully actuated (DOFA) secondary predictive control strategy with a dynamic compensator is proposed to achieve VR and accurate current sharing. The concern for the future state of the dc MG allows the proposed predictive control method to achieve better performance. In particular, the setting of variable weights in the cost function enhances the degree of freedom of secondary regulation. An analysis of the stability of the closed-loop dc MG system and the completion of the regulation tasks with the proposed control scheme is given. Finally, extensive tests are performed on a photovoltaic-and-battery-based dc MG with the MPPT controller to verify the effectiveness of the proposed controller.

中文翻译：

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带感应联络线的直流微电网的基于全驱动系统的建模和控制：预测策略


电压恢复（VR）和均流问题一直是直流微电网（MG）领域的热点问题。本文的工作是设计一个基于模型的次级控制器，该模型反映了具有阻感线路的直流MG的电路和底层控制特性，以完成上述调节任务。具体来说，本文首先基于MG的集成模型建立了输出电流的全驱动模型，该模型不仅形式简单，而且捕捉了实际电力系统的动态。然后，基于所创建的物理原理模型，提出了一种带有动态补偿器的分布式最优完全驱动（DOFA）二次预测控制策略，以实现 VR 和精确均流。对直流 MG 未来状态的关注使得所提出的预测控制方法能够实现更好的性能。特别是成本函数中可变权重的设置，增强了二次调节的自由度。分析了闭环直流磁电系统的稳定性以及采用所提出的控制方案完成调节任务的情况。最后，使用 MPPT 控制器对基于光伏和电池的直流 MG 进行了广泛的测试，以验证所提出的控制器的有效性。