首页> 外文会议>2013 International Conference on Power, Energy amp; Control >Artificial neural network application for prediction of reactive power compensation under line outage contingency
【24h】

Artificial neural network application for prediction of reactive power compensation under line outage contingency

机译:人工神经网络在停电事故无功补偿预测中的应用

获取原文
获取原文并翻译 | 示例

摘要

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补偿器是一种可变阻抗设备,其中使用背靠背晶闸管连接的阀控制通过电抗器的电流。在本文中,已经成功地设计了一种ANN体系结构,该体系结构针对特定的线路中断意外情况预测将提供给系统的补偿量,以提高系统性能。这项研究是使用MATLAB软件在IEEE-30总线系统上进行的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号