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Frequency Tracking of Power Grid based on Phase Difference and UKF

초록

영어

For frequency tracking problem of non-stationary signals in power grid, we propose a unscented Kalman filter (UKF) and the weighted phase difference smoothing algorithm. It improved poor initial conditions sensitive situations of robustness UKF. In order to improve the accuracy of the algorithm, real-time and noise immunity, a suboptimal multiple fading factor and weighted smoothing method is added to improve UKF for frequency tracking of power signals. At last, The simulation results are given. It shows that this method has better accurate, real-time tracking of various frequency power signal and its performance is superior to similar documents tracking algorithm.

목차

Abstract
 1. Introduction
 2. Algorithm Description
  2.1. Weighted Phase Difference Smoothing
  2.2. Multiple Fading Factor Adaptive UKF
 3. Simulation Results and Analysis
 4. Conclusion
 References

저자정보

  • Wei Dong Institute of Measurement, Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin China
  • Wei Dong Electric Power Co., Ltd. of Harbin, Harbin China
  • Shichao Jiang Electric Power Co., Ltd. of Harbin, Harbin China

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