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A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation.

Aobing Chi1, Chengbi Zeng1, Yufu Guo1

  • 1College of Electrical Engineering, Sichuan University, Chengdu 610044, China.

Entropy (Basel, Switzerland)
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a Bregman-split-based compressive sensing (BSCS) method to improve phasor estimation accuracy in dynamic power systems. The BSCS algorithm effectively reduces spectral interference, enhancing performance for phasor measurement units (PMUs).

Keywords:
Bregman splitTaylor–Fourier multi-frequency (TFM)compressive sensing (CS)cross entropyphasor estimation

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Power Systems

Background:

  • Conventional Fourier transform methods face spectral interference challenges in International Electrotechnical Commission frameworks.
  • Accurate phasor estimation is crucial for dynamic power system monitoring and control.

Purpose of the Study:

  • To introduce a novel Bregman-split-based compressive sensing (BSCS) method for estimating Taylor-Fourier coefficients in multi-frequency dynamic phasor models.
  • To address the limitations of existing methods in handling spectral interference and dynamic signal variations.

Main Methods:

  • The study transforms the phasor estimation problem into a compressive sensing model, leveraging the sparsity of dynamic harmonic signals.
  • An optimized hybrid regularization algorithm incorporating the Bregman split method is derived for dynamic phasor reconstruction.

Main Results:

  • The BSCS method demonstrates the ability to alleviate the impact of dynamic signals on phasor estimation.
  • Simulation results show a significant improvement in estimation accuracy compared to conventional methods.
  • Cross-entropy was used to verify model accuracy by measuring distribution differences.

Conclusions:

  • The proposed BSCS method offers enhanced accuracy for phasor estimation in dynamic power systems.
  • This provides a strong theoretical foundation for the development and application of P-class phasor measurement units (PMUs).