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Sliding-mode-based disturbance rejection control of nonlinear power systems with renewable sources

机译:基于滑模的具有可再生资源的非线性电力系统的抗扰控制

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摘要

In this paper, an integral sliding mode control (I-SMC) method for load frequency control (LFC) is investigated in interconnected power systems in the presence of wind turbines. Generation rate constraint (GRC) has been considered. For implementation, neural networks are adopted to approximate the entire uncertainties. The integral sliding mode controllers and the neural networks work in parallel to achieve disturbance rejection control. It has been observed from simulation results that the presented method was able to maintain the feasibility, validity and robustness.
机译:在本文中,研究了存在风力涡轮机的互联电力系统中用于负载频率控制(LFC)的积分滑模控制(I-SMC)方法。已经考虑了发电率约束(GRC)。为了实现,采用神经网络来近似整个不确定性。集成滑模控制器和神经网络并行工作以实现干扰抑制控制。从仿真结果可以看出,该方法能够保持可行性,有效性和鲁棒性。

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