...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEE proceedings. Part C >Neural network based power system damping controller for SVC
【24h】

Neural network based power system damping controller for SVC

机译：基于神经网络的SVC电力系统阻尼控制器

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The development of a neural network based power system damping controller (PSDC) for a static VAr compensator (SVC), designed to enhance the damping characteristics of a power system network representing a part of the Electricity Generating Authority of Thailand (EGAT) system is presented. The proposed stabilising controller scheme of the SVC consists of a neuro-identifier and a neuro-controller which have been developed based on a functional link network (FLN) model. A recursive online training algorithm has been utilised to train the two networks. The simulation results have been obtained under various operating conditions and disturbance cases to show that the proposed stabilising controller can provide a better damping to the low frequency oscillations, as compared to the conventional controllers. The effectiveness of the proposed stabilising controller has also been compared with a conventional power system stabiliser provided in the generator excitation system.
机译：提出了一种基于神经网络的静态VAr补偿器（SVC）的电力系统阻尼控制器（PSDC）的开发，旨在增强代表泰国发电局（EGAT）系统一部分的电力系统网络的阻尼特性。 。 SVC的稳定控制器方案由基于功能链接网络（FLN）模型开发的神经标识符和神经控制器组成。递归的在线训练算法已被用来训练两个网络。在各种工况和扰动情况下获得的仿真结果表明，与传统控制器相比，所提出的稳定控制器可以对低频振荡提供更好的阻尼。所提出的稳定控制器的有效性也已与发电机励磁系统中提供的常规电力系统稳定器进行了比较。

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