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Distributed MPC-Based Secondary Voltage Control Scheme for Autonomous Droop-Controlled Microgrids

机译:基于MPC的分布式下垂控制微电网二次电压控制方案

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In this study, we propose a novel distributed secondary control scheme for both voltage and frequency in autonomous microgrids. By incorporating predictive mechanisms into distributed generations, the secondary voltage control is converted to a tracker consensus problem of distributed model predictive control, with the synchronous convergence procedure for voltage magnitudes to the reference value drastically accelerated at a low communication cost. A sufficient local stability condition with the parameter analysis is established. Thus, a distributed proportional integral method combined with a finite-time observer to estimate the global reference information is presented in the frequency restoration while maintaining accurate active power sharing. Our approach accommodates model uncertainty, plug-and-play capability, and especially robustness against information update intervals, which is essential when the conventional method probably yields toward a poor performance. Meanwhile, the distributed architecture implemented on the local and neighboring information allows for a sparse communication network and eliminates the requirement for a centralized controller. Simulation results are provided to verify the effectiveness of the proposed control methodology.
机译:在这项研究中,我们针对自主微电网中的电压和频率提出了一种新颖的分布式二次控制方案。通过将预测机制整合到分布式发电中,次级电压控制被转换为分布式模型预测控制的跟踪器共识问题,同时以较低的通信成本大幅加快了电压幅值到参考值的同步收敛过程。通过参数分析建立了足够的局部稳定性条件。因此,在频率恢复中提出了一种分布式比例积分方法,该方法与有限时间观测器结合以估计全局参考信息,同时保持了准确的有功功率共享。我们的方法可以适应模型的不确定性,即插即用功能,尤其是针对信息更新间隔的鲁棒性,这在常规方法可能会导致性能下降时至关重要。同时,在本地和邻近信息上实现的分布式体系结构允许稀疏的通信网络,并且消除了对集中控制器的需求。提供仿真结果以验证所提出的控制方法的有效性。

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