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Dense-Frequency Signal-Detection Based on the Primal-Dual Splitting Method.

Jiaoyu Zheng1, Zheng Liao1, Xiaoyang Ma1

  • 1The College of Electrical Engineering, Sichuan University, Chengdu 610065, China.

Entropy (Basel, Switzerland)
|July 27, 2022
PubMed
Summary

This study introduces a novel dense-frequency signal detection method for power systems using primal-dual splitting. The technique accurately estimates signals, meeting Phasor Measurement Unit (PMU) accuracy standards.

Keywords:
dense-frequency signalentropyharmonicinterharmonicphase analysisprimal–dual splitting method

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Power Systems

Background:

  • Increasing renewable energy integration causes dense-frequency signals in power systems.
  • Accurate detection of these signals is crucial for grid stability.

Purpose of the Study:

  • To propose a novel method for detecting dense-frequency signals in power systems.
  • To address challenges posed by the growing proportion of new energy sources.

Main Methods:

  • Developed a Taylor-Fourier model for dense-frequency signals.
  • Utilized the primal-dual splitting method for signal detection.
  • Incorporated measuring-error entropy for a more rigorous convex optimization model.

Main Results:

  • The proposed method achieves optimal estimation of dense signals.
  • Simulation experiments confirm the method's effectiveness.
  • Estimation accuracy meets M-class Phasor Measurement Unit (PMU) requirements.

Conclusions:

  • The primal-dual splitting method offers a robust solution for dense-frequency signal detection.
  • This method enhances power system monitoring and stability with high accuracy.