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A Comparison of Different Signal Selection Options and Signal Processing Techniques for Subsynchronous Resonance Detection. Yu Xia, PhD, Member, IEEE Normann Fischer, Senior Member, IEEE Schweitzer Engineering Laboratories. Outline. Existing Subsynchronous Resonance (SSR) detection methods

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A Comparison of Different Signal Selection Options and Signal Processing Techniques for Subsynchronous Resonance Detection

Yu Xia, PhD, Member, IEEE

Normann Fischer, Senior Member, IEEE

Schweitzer Engineering Laboratories


Outline
Outline Signal Processing Techniques for Subsynchronous Resonance Detection

  • Existing Subsynchronous Resonance (SSR) detection methods

  • Signal input options

  • Signal processing tools

  • Application results

  • Conclusions


Background
Background Signal Processing Techniques for Subsynchronous Resonance Detection

  • Series compensated lines

  • Types of SSR

    • Induction Generator Effect

    • Subsynchronous Torsional Interaction

    • Subsynchronous Control Interaction


Challenges
Challenges Signal Processing Techniques for Subsynchronous Resonance Detection

  • Low magnitude of oscillation

  • Low frequency range

  • Tight response time requirement (Speed)

  • High amplitude of fault current

  • Avoid false trips (Security)

  • Recognize SSR (Dependability)


Existing ssr detection methods
Existing SSR detection methods Signal Processing Techniques for Subsynchronous Resonance Detection

  • Tex Relay

  • Torsional motion relay

  • Armature current relay


Microprocessor based methods
Microprocessor based methods Signal Processing Techniques for Subsynchronous Resonance Detection

  • Patent by Southern California Edison

  • Patent by ABB

  • ERLphase method


Input signal options
Input signal options Signal Processing Techniques for Subsynchronous Resonance Detection

  • Negative sequence current

  • Voltage across the series capacitors

  • Generator terminal currents and voltages

  • Generator speed


Dft result for voltage and current of the capacitor bank
DFT result for voltage and current of the capacitor bank Signal Processing Techniques for Subsynchronous Resonance Detection


Signal processing techniques
Signal processing techniques Signal Processing Techniques for Subsynchronous Resonance Detection

  • Fourier Transform

  • Short time Fourier transform

  • Wavelet transform


Heisenberg boxes stft
Heisenberg boxes (STFT) Signal Processing Techniques for Subsynchronous Resonance Detection


Heisenberg boxes wt
Heisenberg boxes (WT) Signal Processing Techniques for Subsynchronous Resonance Detection


Dft stft and wt
DFT, STFT and WT Signal Processing Techniques for Subsynchronous Resonance Detection


Real world event
Real world event Signal Processing Techniques for Subsynchronous Resonance Detection

Generator current waveform for a real world SSR case


Application results ft
Application results (FT) Signal Processing Techniques for Subsynchronous Resonance Detection


Application results stft
Application results (STFT) Signal Processing Techniques for Subsynchronous Resonance Detection


Application results wt
Application results (WT) Signal Processing Techniques for Subsynchronous Resonance Detection


Conclusions 1
Conclusions (1) Signal Processing Techniques for Subsynchronous Resonance Detection

  • Existing SSR detection methods were reviewed.

  • Different signal selection options and signal processing techniques were compared.

  • Existing methods either do exclusively time domain analysis or exclusively frequency domain analysis.


Conclusions 2
Conclusions (2) Signal Processing Techniques for Subsynchronous Resonance Detection

  • STFT and WT decompose the signals in both time and frequency domain.

  • WT overcomes the drawbacks of FT and show a clear relationship between the magnitudes of different frequency components and time.


Questions? Signal Processing Techniques for Subsynchronous Resonance Detection


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