Proposal of a Desynchronized Processing Technique for Assessing High-Frequency Distortion in Power Systems

Assessing high-frequency (HF) distortion (HFD) in power systems is a new challenge in the framework of in situ power quality monitoring. The International Electrotechnical Commission (IEC) suggests the use of a high-pass filter in the measurement chain, which can be analog (with a dedicated channel for HF assessment) or integrated into its digital form into the signal processing (SP) stage, in order to reduce the measurement uncertainty. This paper proposes a desynchronized processing technique (DPT) as an effective alternative to the other digital filtering techniques presented in the literature, which also allows for a potential simplification of the measurement hardware. The DPT performance is analyzed by means of numerical experiments and laboratory measurements performed using two different test beds and both 16- and 24-bit analog-to-digital converters (ADCs). The test beds are used to evaluate the combined contribution of the ADC and the SP stage to the whole measurement chain uncertainty and identify achievable accuracy levels for different frequency ranges and magnitudes of HFD. The results highlight the strengths of the DPT compared to other techniques and demonstrate its potential to include HF in a comprehensive waveform distortion assessment in power systems.

[1]  Jiri Drapela,et al.  Assessing Distortion Within the IEC Framework in the Presence of High Frequency Components: Some Considerations on Signal Processing , 2018, 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS).

[2]  Paulo F. Ribeiro,et al.  On waveform distortion in the frequency range of 2 kHz–150 kHz—Review and research challenges , 2017 .

[3]  Matthias Klatt,et al.  Filter for the measurement of supraharmonics in public low voltage networks , 2015, 2015 IEEE International Symposium on Electromagnetic Compatibility (EMC).

[4]  Grevener Anne,et al.  Comparison of Measurement Methods for the Frequency Range 2 – 150 kHz (Supraharmonics) , 2018, 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS).

[5]  Jan Meyer,et al.  Survey of supraharmonic emission of household appliances , 2017 .

[6]  Julio Barros,et al.  Analysis of Harmonics in Power Systems Using the Wavelet-Packet Transform , 2005, IEEE Transactions on Instrumentation and Measurement.

[7]  A. Testa,et al.  Desynchronized Processing technique for Harmonic and interharmonic analysis , 2004, IEEE Transactions on Power Delivery.

[8]  Matthias Klatt,et al.  Comparison of measurement methods for the frequency range of 2 kHz to 150 kHz , 2014, 2014 16th International Conference on Harmonics and Quality of Power (ICHQP).

[9]  Maria Emília de Lima Tostes,et al.  Characterization of supraharmonics using the wavelet packet transform , 2018, 2018 18th International Conference on Harmonics and Quality of Power (ICHQP).

[10]  P. Schegner,et al.  Topology identification of electronic mass-market equipment for estimation of lifetime reduction by HF disturbances above 2 kHz , 2017, 2017 IEEE Manchester PowerTech.

[11]  Anders Larsson,et al.  A Wavelet-Modified ESPRIT Hybrid Method for Assessment of Spectral Components from 0 to 150 kHz , 2017 .

[12]  Cheng-I Chen,et al.  Measurement techniques for stationary and time-varying harmonics , 2010, IEEE PES General Meeting.

[13]  W. R. Bennett,et al.  Spectra of quantized signals , 1948, Bell Syst. Tech. J..

[14]  Guido Carpinelli,et al.  New ESPRIT-based method for an efficient assessment of waveform distortions in power systems , 2015 .

[15]  E O Anders Larsson,et al.  Measurements of High-Frequency (2–150 kHz) Distortion in Low-Voltage Networks , 2010, IEEE Transactions on Power Delivery.

[16]  Paulo F. Ribeiro Time-Varying Waveform Distortions in Power Systems , 2009 .

[17]  Jiri Drapela,et al.  Frequency response of revenue meters in measured active energy , 2016, 2016 17th International Conference on Harmonics and Quality of Power (ICHQP).