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A real-time smart sensor for high-resolution frequency estimation in power systems.

David Granados-Lieberman1, Rene J Romero-Troncoso, Eduardo Cabal-Yepez

  • 1HSPdigital Research Group, División de Ingenierías, Campus Irapuato-Salamanca, Universidad de Guanajuato / Carr. Salamanca-Valle km 3.5+1.8, Comunidad de Palo Blanco, 36700 Salamanca, Guanajuato, Mexico; E-Mails: granlieber@hspdigital.org (D.G.-L.); troncoso@hspdigital.org (R.J.R.-T.).

Sensors (Basel, Switzerland)
|March 9, 2012
PubMed
Summary

This study introduces a smart sensor for accurate real-time power line frequency measurement, crucial for power generating systems and power quality monitoring. The sensor uses the chirp z-transform for high-resolution results meeting international standards.

Keywords:
chirp z-transformfrequency estimationhigh resolutionpower systemssmart sensor

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Power Systems

Background:

  • Accurate power line frequency measurement is critical for power quality monitoring and compliance with grid standards.
  • Existing methods may lack the resolution or real-time capability required for modern power generating systems.

Purpose of the Study:

  • To develop a novel smart sensor for high-resolution, real-time frequency measurement of power lines.
  • To ensure the developed sensor adheres to international standards for power quality monitoring.

Main Methods:

  • The smart sensor utilizes common primary sensors like current clamps, hall-effect sensors, or resistors.
  • Signal processing is performed using the chirp z-transform algorithm for enhanced frequency resolution.

Main Results:

  • Simulations demonstrated the effectiveness of the proposed smart sensor.
  • Experimental results validated the sensor's efficiency in real-time frequency measurement.

Conclusions:

  • The developed smart sensor offers an efficient solution for accurate, high-resolution power line frequency measurement.
  • This technology supports compliance with stringent power quality monitoring standards in power generating systems.