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Analysis of Transient Stability Based STATCOM for Neural Network Controller in Cascaded Multilevel Inverter

机译:级联多电平逆变器神经网络控制器基于暂态稳定的STATCOM分析

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This paper is proposed a neural controller for static time critical error and better damping oscillations after a short circuit fault is cleared. The neural network is approached for estimation of the control and operating parameters of STATCOM .It is used for improving voltage profile in power system. So STATCOM is an important voltage source converter device. It is used in voltage control mode or reactive power injection mode. To achieve this idea, a controller is designed based on energy function lyapunov. The neural controller is employed to the system for enhancement the transient stability. The performance is analyzed using MATLAB/SIMULINK.
机译:提出了一种用于神经网络的静态时间临界误差控制器,用于消除短路故障后的阻尼振荡。利用神经网络来估计STATCOM的控制和运行参数,该神经网络用于改善电力系统中的电压分布。因此,STATCOM是重要的电压源转换器设备。在电压控制模式或无功功率注入模式下使用。为了实现这个想法,基于能量函数lyapunov设计了一个控制器。该系统采用神经控制器来增强瞬态稳定性。使用MATLAB / SIMULINK分析性能。

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