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A Fast Recursive Algorithm For Spectrum Tracking in Power Grid Systems.

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Summary
This summary is machine-generated.

This study introduces a novel two-stage method for accurately tracking power system phase and frequency variations. It effectively identifies and monitors harmonics, sub-harmonics, and inter-harmonics in real-time.

Keywords:
Frequency Estimation and TrackingHarmonicInter-HarmonicPower GridSub-harmonicSubspace

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Area of Science:

  • Electrical Engineering
  • Power Systems Analysis
  • Signal Processing

Background:

  • Wide area measurement systems require precise real-time tracking of power system phase, frequency, and Power Factor (PF).
  • Non-linear loads in distribution systems introduce harmonics, sub-harmonics, and inter-harmonics, distorting signal estimation and hindering accurate monitoring.
  • Existing methods struggle to effectively track dynamic frequency variations in the presence of complex harmonic distortions.

Purpose of the Study:

  • To develop a robust approach for identifying and tracking harmonic, sub-harmonic, and inter-harmonic components in power systems.
  • To accurately monitor real-time voltage, current, and frequency variations despite signal distortions.
  • To assess the impact of these harmonic components on overall power system behavior.

Main Methods:

  • A two-stage processing approach is proposed, beginning with a subspace-based estimation method.
  • The first stage detects and identifies all harmonic components within the power system signals.
  • The second stage employs a low-complexity fast tracking algorithm for real-time frequency variation monitoring.

Main Results:

  • The proposed approach successfully detects and identifies harmonic, sub-harmonic, and inter-harmonic components.
  • Simulation results demonstrate highly reliable estimation of these components.
  • The algorithm provides fast and accurate tracking of frequency variations, even with time-varying signals.

Conclusions:

  • The developed two-stage method offers a reliable solution for monitoring power systems with harmonic distortions.
  • It enables accurate real-time tracking of phase and frequency, crucial for wide area measurement systems.
  • This approach effectively mitigates the impact of time variance and harmonic interference on signal analysis.