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Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model

机译:智能电网中的混沌动力学及广义模糊双曲模型的抑制方案

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This paper presents a method to control chaotic behavior of a typical Smart Grid based on generalized fuzzy hyperbolic model (GFHM). As more and more distributed generations (DG) are incorporated into the Smart Grid, the chaotic behavior occurs increasingly. To verify the behavior, a dynamic model which describes a power system with DG is presented firstly. Then, the simulation result shows that the power system can lead to chaos under certain initial conditions. Based on the universal approximation of GFHM, we confirm that the chaotic behavior could be suppressed by a new controller, which is designed by means of solving a linear matrix inequality (LMI). This approach could make a good application to suppress the chaos in Smart Grid. Finally, a numerical example is given to demonstrate the effectiveness of the proposed chaotic suppression strategy.
机译:本文提出了一种基于广义模糊双曲模型(GFHM)的典型智能电网混沌行为控制方法。随着越来越多的分布式发电(DG)被集成到智能电网中,混乱的行为越来越多地发生。为了验证该行为,首先提出了一个描述带有DG的电力系统的动态模型。然后,仿真结果表明,电力系统在某些初始条件下会导致混乱。基于GFHM的通用逼近,我们确认可以通过解决线性矩阵不等式(LMI)设计的新型控制器来抑制混沌行为。这种方法可以很好地抑制智能电网中的混乱情况。最后,通过数值例子说明了所提出的混沌抑制策略的有效性。

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