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An estimation method of smart meter errors based on DREM and DRLS

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  • Kong, Xiangyu
  • Zhang, Xiaopeng
  • Li, Gang
  • Dong, Delong
  • Li, Ye

Abstract

Remote estimation of smart meter errors based on measurement data analysis from the user smart meter comes into focus because field calibration has high maintenance cost and difficult to analyze in time. In this paper, a remote estimation method of smart meter errors based on Dimension Reduction Estimation Model (DREM) and Damped Recursion Least Squares (DRLS) is proposed, in which DREM deals with the insolvability of actual model, and DRLS algorithm improves the stability and accuracy of estimation. To verify the effectiveness and practicality the method proposed is applied in both laboratory and actual distribution feeder unit. The results show that the proposed method did not need to calculate the network loss independently in advance, and it can estimate the smart meter errors and network loss rate in real-time. Finally, the important parameters involved in the model and algorithm are discussed, and the advice of parameter selection is proposed.

Suggested Citation

  • Kong, Xiangyu & Zhang, Xiaopeng & Li, Gang & Dong, Delong & Li, Ye, 2020. "An estimation method of smart meter errors based on DREM and DRLS," Energy, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:energy:v:204:y:2020:i:c:s0360544220308811
    DOI: 10.1016/j.energy.2020.117774
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    References listed on IDEAS

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    1. Fróes Lima, Carlos Alberto & Portillo Navas, José Ricardo, 2012. "Smart metering and systems to support a conscious use of water and electricity," Energy, Elsevier, vol. 45(1), pages 528-540.
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    3. Xiangyu Kong & Yuying Ma & Xin Zhao & Ye Li & Yongxing Teng, 2019. "A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors," Energies, MDPI, vol. 12(5), pages 1-16, February.
    4. Wang, Xuewei & Wang, Jing & Yuan, Ruiming & Jiang, Zhenyu, 2019. "Dynamic error testing method of electricity meters by a pseudo random distorted test signal," Applied Energy, Elsevier, vol. 249(C), pages 67-78.
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