›› 2015, Vol. 28 ›› Issue (9): 54-.

• 论文 • 上一篇    下一篇

利用RPLS算法实现电力系统频率跟踪

李珍珠,王小华,周勇   

  1. (长沙理工大学 电气与信息工程学院,湖南 长沙 410114)
  • 出版日期:2015-09-15 发布日期:2015-09-15
  • 作者简介:李珍珠(1990—),女,硕士研究生。研究方向:通信和信号处理。E-mail:1179910978@qq.com。王小华(1968—),男,教授,硕士生导师。研究方向:神经网络,信号处理,电力系统谐波分析。周勇(1991—),男,硕士研究生。研究方向:PID,神经网络。

Achievement of Frequency Tracking in Power Systems by RPLS Algorithm

LI Zhenzhu,WANG Xiaohua,ZHOU Yong   

  1. (College of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410114,China)
  • Online:2015-09-15 Published:2015-09-15

摘要:

针对在电力系统频率跟踪算法中推导过程复杂、计算量大等问题,提出了一种利用递推偏最小二乘法(RPLS)实现电力系统频率跟踪的新算法。该方法在递推过程中,采用滑动窗法更新数据,同时引入了适当的遗忘因子。仿真结果表明,该算法在电力系统频率跟踪中具有计算复杂度小,推导过程简单,频率跟踪收敛速度快,测量精度高的特点,其是电力系统频率跟踪中的一种新方法。

关键词: RPLS, 滑动窗, 遗忘因子, 频率跟踪

Abstract:

In view of the complex derivation and large amount of calculation of the power system frequency tracking algorithm,a new algorithm for frequency tracking of power system using a Recursive Partial Least Squares (RPLS) is proposed.The sliding window method is used in the recursive process to update data,and the appropriate forgetting factor is introduced.The simulation results show that this algorithm has small computation complexity in power system frequency tracking with simple derivation,fast convergence and high accuracy.

Key words: RPLS;sliding window;forgetting factor;frequency tracking

中图分类号: 

  • TM935