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Artificial Neural Network Application for Prediction of Reactive Power Compensation Under Line Outage Contingency

机译:在线中断应急下的无功功率补偿预测的人工神经网络应用

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Static VAR Compensator is a variable impedance device where the current through a reactor is controlled using back to back thyristor connected valves. In this paper a successful attempt has been made to design an ANN architecture which predicts the quantum of compensation to be provided to the system for a specific line outage contingency in order to improve the system performance. The study is carried out on an IEEE-30 bus system using MATLAB software.
机译:静态VAR补偿器是可变阻抗装置,其中通过反向晶闸管连接阀控制通过反应器的电流。 在本文中,已经成功地设计了一个ANN架构,该架构预测用于为特定行停用的系统提供给系统的补偿量,以便提高系统性能。 该研究是在使用MATLAB软件的IEEE-30总线系统上进行的。

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