114 / 2022-03-13 18:55:23
A Digital Twin Based Fault Location Method for Transmission Lines Using the Recovery Information of Instrument Transformers
fault location,transmission line,transmission line parameter estimation
终稿
张 涵 / 重庆大学
骁枭 罗 / State Grid Chongqing Electric Power Research Institute Chongqing
永福 李 / State Grid Chongqing Electric Power Company Electric Power Research Institute
司马 文霞 / Chongqing University
杨 鸣 / Chongqing University
Fault location algorithms for transmission lines use the parameters of the transmission line to locate faults after the faults have occurred along the line. Although these parameters can be estimated by the phasor measurement units (PMUs) at the terminal(s) of the transmission line continuously, the uncertainty in the measurements will give rise to stochastic errors in the measured values. Thus, the uncertainty in measurements definitely influences the estimations of the parameters of the transmission line, which, in turn, influences the results of fault location algorithms. Inaccurate results of fault location algorithms may lead to costly maintenance fees and prolonged outage time.

In this article, we estimate the parameters of the transmission line considering the uncertainty in the measurements so that a more accurate fault location can be derived. The uncertainty in the measurements will be modeled as a stochastic distribution, and the maximum likelihood estimation (MLE) method will be adopted to reduce the uncertainty in the measurements. In addition, as an illustration, the telegrapher’s equations will be used to calculate the parameters of the transmission line, and the two-terminal positive sequence network fault location algorithm will be used to locate the fault. In a simulation, a case study of a real-life transmission lines the influence of the uncertainty in the measurements on the transmission line parameter estimations and the effectiveness of the MLE method for estimations are simulated and analyzed.

The results show that the influence of the uncertainty in the measurements on the positive sequence network fault location algorithm should not be neglected.

The proposed method is very effective in significantly reducing the influence of the uncertainty in the measurements.





 
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
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