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Neural Adaptive Control by State Space Regulator of Universal Charge for the Compensation of Active and Reactive Power

机译:由状态空间调节器对通用电荷进行神经自适应控制以补偿有功和无功功率

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摘要

In the present study, researchers present the effectiveness of the controller's electrical power flow universal (Unified Power Flow Controller, UPFC) with the choice of a control strategy. To evaluate the performance and robustness of the system, we proposed a hybrid control combining the concept of neural networks with conventional regulators vis-a-vis the changes in characteristics of the transmission line in order to improve the stability of the electrical power network.
机译:在本研究中,研究人员介绍了通过选择控制策略来实现通用控制器电力潮流(统一潮流控制器,UPFC)的有效性。为了评估系统的性能和鲁棒性,我们提出了一种混合控制,将神经网络的概念与常规调节器相结合,以应对输电线路特性的变化,以提高电力网络的稳定性。

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