• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IASTED(International Association of Science and Technology for Development) International Conference on Power, Energy, and Applications; 20060911-13; Gaborone(BW) >A P-Q DECOUPLED CONTROL SCHEME USING FUZZY-NEURAL CONTROLLERS FOR THE UNIFIED POWER FLOW CONTROLLER
【24h】

A P-Q DECOUPLED CONTROL SCHEME USING FUZZY-NEURAL CONTROLLERS FOR THE UNIFIED POWER FLOW CONTROLLER

机译：统一潮流控制器的基于模糊神经控制器的P-Q解耦控制方案

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

This paper presents a new p-q decoupled control scheme using fuzzy neural controllers for the unified power flow controller (UPFC) to improve the dynamic performance of power systems with the aim of reducing the inevitable interactions between the real and reactive power flow control parameters. In this paper, a set of equivalent controlled current and voltage sources is adopted for mathematically modeling the UPFC and the test power systems. To simplify the theoretical analysis of the control system the three phase description of a two-bus test power system model embedded with a UPFC is transformed into d-q components based on a synchronously rotating reference frame. For the control systems with inherent nonlinear coupling features, a feed-forward control scheme based on fuzzy neural controllers is developed to realize the decoupling control objectives. Based on the simulation results, the proposed control scheme is able to overcome the drawbacks of the traditional power flow controllers on small disturbance linearizing method. Comprehensive simulation results on the PSCAD and MATLAB programs are presented and discussed to verify the effectiveness of the proposed control scheme.
机译：本文针对统一潮流控制器（UPFC）提出了一种使用模糊神经控制器的新型p-q解耦控制方案，以改善电力系统的动态性能，以减少有功和无功潮流控制参数之间不可避免的相互作用。本文采用一组等效的受控电流和电压源对UPFC和测试电源系统进行数学建模。为了简化控制系统的理论分析，基于同步旋转参考系，将嵌入UPFC的两总线测试电力系统模型的三相描述转换为d-q分量。对于具有固有非线性耦合特性的控制系统，提出了一种基于模糊神经控制器的前馈控制方案，以实现解耦控制目标。基于仿真结果，提出的控制方案能够克服传统潮流控制器在小扰动线性化方法上的缺点。提出并讨论了在PSCAD和MATLAB程序上的综合仿真结果，以验证所提出的控制方案的有效性。

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