采用差分滤波算法改进最大投影差值故障选线
CSTR:
作者:
作者单位:

(三江学院,江苏 南京 210012)

作者简介:

杨正理(1971—),男,硕士,副教授,主要研究方向为电力系统稳定与控制。E-mail:zhengli-yang@163.com

通讯作者:

中图分类号:

基金项目:

江苏高校自然科学研究面上项目(15KJD510006)


A new fault line selection method of the maximizing shadow difference optimized by differential filter algorithm
Author:
Affiliation:

(Sanjiang University, Nanjing 210012, China)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为了提高最大投影差值( )方法在故障选线中的可靠性和运算速度,在分析了最大投影差值方法和差分滤波算法的原理后,提出了采用差分滤波算法改进最大投影差值进行故障选线的新方法。利用差分滤波算法对最大投影差值方法进行优化,优化后算法避免了引入中间参考正弦信号并减少了乘法运算量,可靠性和运算速度都得到了提高。理论分析和大量仿真结果表明,新算法不受故障角、过渡电阻、故障位置和电弧接地等参数的影响,故障选线正确率能达到100%。

    Abstract:

    In order to improve the reliability and calculating speed of the maximizing shadow difference ( ) method in fault line selection, the principles of the maximizing shadow difference method and the differential filter algorithm are analyzed in detail, and a new fault line selection method of the maximizing shadow difference optimized by differential filter algorithm is proposed. The maximizing shadow difference method is optimized by differential filter algorithm. The optimized method avoids the intermediate referenced sine signal and reduces the multiplication calculation, which improves both the reliability and calculating speed. Theoretical analysis and simulation results show that the new method is immune to the parameters, such as the fault angle, transition resistance, fault distance, fault arc, and so on. The fault line selection accuracy rate can reach to 100%. This work is supported by Natural Science Foundation of Jiangsu Universities (No. 15KJD510006).

    参考文献
    相似文献
    引证文献
引用本文

杨正理,黄其新,王长鹏,等.采用差分滤波算法改进最大投影差值故障选线[J].电力系统保护与控制,2018,46(4):158-164.[YANG Zhengli, HUANG Qixin, WANG Changpeng, et al. A new fault line selection method of the maximizing shadow difference optimized by differential filter algorithm[J]. Power System Protection and Control,2018,V46(4):158-164]

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2017-02-05
  • 最后修改日期:2017-04-27
  • 录用日期:
  • 在线发布日期: 2018-03-06
  • 出版日期:
文章二维码
关闭
关闭