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To address the issue of inaccurate energy meter measurements under low power factor conditions, this paper develops a model that examines the effects of phase angle error, DC offset, and sampling rate on energy measurement error. Additionally, it explores technologies aimed at enhancing energy measurement performance in low power factor scenarios. In terms of hardware, the resolution of the electricity meter's metering chip has been improved, reducing errors under low power factor conditions. On the software side, a metering compensation algorithm based on quadratic polynomials, along with a partial angle compensation scheme, has been proposed. This approach transforms the challenge of solving trigonometric functions for angle compensation in low power factor scenarios into a problem solvable by quadratic polynomials. The experimental results indicate that the error of Class A electricity meters can be reduced to 0.2%, while the error of Class B electricity meters can be minimized to 0.15% by improving the resolution of the metering chip and implementing a metering compensation algorithm.

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Research on Metering Performance Improvement Technology of Electricity Meter Under Low Power Factor Condition

  • 会议论文

  • 发表日期：

    2026年

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  • Chen Hu,
  • Liang Zhu,
  • Xingzhi Liu,
  • Chuanxiang Yu

摘要

To address the issue of inaccurate energy meter measurements under low power factor conditions, this paper develops a model that examines the effects of phase angle error, DC offset, and sampling rate on energy measurement error. Additionally, it explores technologies aimed at enhancing energy measurement performance in low power factor scenarios. In terms of hardware, the resolution of the electricity meter's metering chip has been improved, reducing errors under low power factor conditions. On the software side, a metering compensation algorithm based on quadratic polynomials, along with a partial angle compensation scheme, has been proposed. This approach transforms the challenge of solving trigonometric functions for angle compensation in low power factor scenarios into a problem solvable by quadratic polynomials. The experimental results indicate that the error of Class A electricity meters can be reduced to 0.2%, while the error of Class B electricity meters can be minimized to 0.15% by improving the resolution of the metering chip and implementing a metering compensation algorithm.