Distributed Model Predictive Control for Autonomous Droop-Controlled Inverter-Based Microgrids
Distributed Model Predictive Control for Autonomous Droop-Controlled Inverter-Based Microgrids
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DOI：
10.1109/cdc40024.2019.9028938
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发表时间：
2019-12
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影响因子：
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通讯作者：
S. Anderson;Patricia Hidalgo-Gonzalez;Roel Dobbe;C. Tomlin
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文献类型：
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作者：
S. Anderson;Patricia Hidalgo-Gonzalez;Roel Dobbe;C. Tomlin
微电网必须能够在瞬态事件期间将电压和频率恢复到其参考值；逆变器被用作微电网分层控制的一部分，以保持电能质量。所回顾的方法要么不允许在同步状态恢复、本地参考跟踪和干扰抑制的目标之间进行直观的权衡调整，要么不考虑所有这些目标。在本文中，我们解决了在基于下垂控制逆变器的孤岛微电网中电压恢复的所有这些目标。通过将分布式模型预测控制（DMPC）与无气味卡尔曼滤波器（UKF）串联，设计了二次电压控制器，使电压在有限时间内恢复到参考电压。DMPC解决了一个参考跟踪问题，同时抑制了有噪声系统中的无功干扰。我们提出的方法通过设计随机游走估计器来考虑非零均值干扰。通过在Simulink中对多节点微电网进行建模，验证了该方法在有限时间内恢复电压的能力。
Microgrids must be able to restore voltage and frequency to their reference values during transient events; inverters are used as part of a microgrid’s hierarchical control for maintaining power quality. Reviewed methods either do not allow for intuitive trade-off tuning between the objectives of synchronous state restoration, local reference tracking, and disturbance rejection, or do not consider all of these objectives. In this paper, we address all of these objectives for voltage restoration in droop-controlled inverter-based islanded micro-grids. By using distributed model predictive control (DMPC) in series with an unscented Kalman Filter (UKF), we design a secondary voltage controller to restore the voltage to the reference in finite time. The DMPC solves a reference tracking problem while rejecting reactive power disturbances in a noisy system. The method we present accounts for non-zero mean disturbances by design of a random-walk estimator. We validate the method’s ability to restore the voltage in finite time via modeling a multi-node microgrid in Simulink.