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A high-precision synchronous signal acquisition device.

Zhu Zhang1, Nian Wen Xiang1, Li Jian Ding1

  • 1School of Electrical Engineering and Automation, HFUT, Hefei 230009, People's Republic of China.

The Review of Scientific Instruments
|May 3, 2020
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Summary

This study introduces a novel double-trigger-time digital conversion technology to improve synchronous signal measurement accuracy in intelligent substations. The new method achieves a 0.05 class accuracy, surpassing current limitations for critical power equipment assessment.

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Area of Science:

  • Electrical Engineering
  • Power Systems
  • Measurement Science

Background:

  • Accurate state assessment of power equipment relies on synchronous signal acquisition.
  • Current synchronous signal measuring devices in intelligent substations have a maximum accuracy of 0.2 class, insufficient for equipment like transformers.
  • High-precision sigma-delta analog-to-digital converters (ADCs) offer 0.05 class accuracy but suffer from significant phase errors due to inadequate real-time sampling.

Purpose of the Study:

  • To address the limitations of existing synchronous signal measurement technologies.
  • To propose a novel digital conversion technology for enhancing synchronous and accurate measurements among sigma-delta ADCs.
  • To achieve a measurement accuracy of 0.05 class for power equipment state assessment.

Main Methods:

  • Development of a double-trigger-time digital conversion technology.
  • Application of the technology to synchronize multiple sigma-delta ADCs.
  • Experimental testing and validation of the proposed method.

Main Results:

  • The developed technology enables synchronous and accurate measurement among sigma-delta ADCs.
  • Experimental tests demonstrate that the measurement accuracy can reach the 0.05 class.
  • The proposed method effectively mitigates phase errors associated with real-time sampling.

Conclusions:

  • The double-trigger-time digital conversion technology successfully enhances synchronous measurement accuracy for power equipment.
  • This advancement meets the stringent accuracy requirements for critical components like voltage and current transformers.
  • The findings pave the way for more reliable and precise condition monitoring in intelligent substations.