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A Model Predictive Control for a Four-Leg Inverter in a Stand-Alone Microgrid under Unbalanced Condition

机译:不平衡条件下独立微电网中四腿逆变器的模型预测控制

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In this study, a model predictive control (MPC) method is used to control a four-leg voltage source inverter in a stand-alone microgrid. The proposed method aims to regulate the voltage of the inverter so that the cost function of the MPC becomes minimum. Minimizing the cost function, the output voltages will become balanced even under unbalanced load conditions. The suggested controller is validated through Simulink/Matlab. Moreover, the outcomes are compared with the conventional double-loop proportional-integral controller. It is shown that the output voltages have lower THD and phase unbalance rate using the suggested MPC. Next, it is argued that neither of these methods can have control over neutral-to-ground voltage, which is a critical power quality issue in microgrids with sensitive loads. As the MPC has the potential to consider several parameters; therefore, it is recommended to manipulate the MPC cost function to compensate for output voltages and reduce the neutral-to-ground voltage, simultaneously.
机译:在本研究中,模型预测控制(MPC)方法用于在独立微电网中控制四腿电压源逆变器。所提出的方法旨在调节逆变器的电压,使得MPC的成本函数变为最小。最小化成本函数,即使在不平衡负载条件下,输出电压也会变得平衡。建议的控制器通过Simulink / Matlab验证。此外,将结果与传统的双回路比例积分控制器进行比较。结果表明,输出电压使用所建议的MPC具有较低的THD和相位不平衡率。接下来,认为这些方法也不能控制中性到地电压,这是微电网中具有敏感载荷的微电网中的关键电能质量问题。由于MPC有可能考虑几个参数;因此,建议使用MPC成本函数来补偿输出电压并同时降低中性到地电压。

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