76 / 2021-10-19 21:59:38
Multi-Level District Topology Identification Method
multi-level topology identification, line impedance analysis, multiple linear regression, voltage correlation analysis, Pearson correlation coefficient, power balance analysis
Final Paper
Hua Lin / State Grid
Wen Zhan / State Grid
Yaping Wang / State Grid
Shian Zhan / State Grid
Qian Chen / State Grid
To locate electrical topology anomalies, multi-level district topology identification method based on voltage, current and power factor of user electric energy data acquiring system is proposed. The method is a comprehensive application of voltage correlation analysis method based on Pearson correlation coefficient analysis, power balance analysis method based on multiple linear regression and line impedance analysis method. In order to give full play to the advantages of each method, voltage analysis correlation method is mainly used to judge the relationship between electricity meter box and electricity meter, power balance analysis method and line impedance analysis method are used to judge the relationship between electricity meter box and transformer. Using multi-level district topology identification method, the correct topology from transformer to electricity meter box and meter can be obtained. Finally, through the analysis and calculation of a actual case, the correctness and effectiveness of the proposed method are verified.
Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST