This article addresses the problem of distributed secondary voltage control of an islanded microgrid (MG) from a cyber‐physical perspective. An event‐triggered distributed model predictive control (DMPC) scheme is designed to regulate the voltage magnitude of each distributed generators (DGs) in order to achieve a better trade‐off between the control performance and communication and computation burdens. By using two novel event triggering conditions that can be easily embedded into the DMPC for the application of MG control, the computation and communication burdens are significantly reduced with negligible compromise of control performance. In addition, to reduce the sensor cost and to eliminate the negative effects of nonlinearity, an adaptive nonasymptotic observer is utilized to estimate the internal and output signals of each DG. Thanks to the deadbeat observation property, the observer can be applied periodically to cooperate with the DMPC‐based voltage regulator. Finally, the effectiveness of the proposed control method has been tested on a simple configuration with four DGs and the modified IEEE‐13 test system through several representative scenarios.

中文翻译：

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用于孤岛微电网弹性电压控制的事件触发分布式模型预测控制

本文从信息物理角度解决孤岛微电网 (MG) 的分布式二次电压控制问题。事件触发分布式模型预测控制 (DMPC) 方案旨在调节每个分布式发电机 (DG) 的电压幅度，以便在控制性能与通信和计算负担之间实现更好的权衡。通过使用可以轻松嵌入到 DMPC 中用于 MG 控制应用的两个新颖的事件触发条件，计算和通信负担显着减少，控制性能的损失可以忽略不计。此外，为了降低传感器成本并消除非线性的负面影响，使用自适应非渐近观测器来估计每个 DG 的内部和输出信号。由于无差拍观察特性，可以定期应用观察器与基于 DMPC 的电压调节器配合使用。最后，通过几个有代表性的场景，在具有四个 DG 的简单配置和修改后的 IEEE-13 测试系统上测试了所提出的控制方法的有效性。