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A secondary control based on fuzzy logic to frequency and voltage adjustments in islanded microgrids scenarios

机译:基于模糊逻辑的孤岛微电网方案中的频率和电压调整的二次控制

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This paper aims to propose a secondary control algorithm based on Fuzzy Logic to adjust frequency and voltage in islanded microgrids. It is well-known, that, when a microgrid changes its operation from grid-connected to islanded mode, the time domain variability of the loads will change the frequency and voltage profiles of the system. In this sense, the operation of the system might become unsafe and out of the acceptable ranges of quality. It is essential that the MGCC be able to restore the frequency and voltage through the secondary control. In this context, a Fuzzy approach is proposed to change the frequency and the voltage reference values in the droop equation of the Voltage Sources Inverters to correct them. The main idea of this paper is to consider these variables uncoupled and then correct each one separately, taking into account that the frequency is global and the voltage is local variables of the system. As results of this work, this paper brings the frequency and voltage profiles of a modified IEEE Feeder Test during a random day, showing the behavior of theses variables with and without the proposed algorithm.
机译:本文旨在提出一种基于模糊逻辑的二次控制算法,以调节孤岛微电网的频率和电压。众所周知,当微电网将其操作从并网模式更改为孤岛模式时,负载的时域可变性将改变系统的频率和电压曲线。从这个意义上说,系统的操作可能会变得不安全并且超出可接受的质量范围。 MGCC必须能够通过辅助控制来恢复频率和电压,这一点至关重要。在这种情况下,提出了一种模糊方法来改变频率和电压源逆变器的下垂方程中的参考电压值,以对其进行校正。本文的主要思想是考虑这些变量是解耦的,然后分别考虑频率是全局变量,而电压是系统的局部变量,分别对每个变量进行校正。这项工作的结果是,本文介绍了经过修改的IEEE Feeder测试在随机一天中的频率和电压曲线,显示了使用或不使用建议算法时这些变量的行为。

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