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Optimization Based Distribution Network Fault Location Method Using PMU Information

  • Xiaopeng Wang
  • , Na Lu
  • , Huan Luo
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

As an important part of the construction of smart grids, distribution network fault location technology has received widespread attention to improve the level of grid automation. However, the complex structure and poor measurement conditions of distribution network have seriously restricted its application. By applying the synchronous vector information of Phasor Measurement Unit (PMU), this article proposes an optimization-based method to determine the fault location for distribution networks and realizes the fault location of various types. In this method, the voltage and current synchronous vector information provided by the PMU constitutes the optimization objective functions based on the voltage-current relationship. By solving these functions, the fault section and the accurate fault location can be obtained. In addition, the effectiveness of the proposed method when PMU information is missing is also discussed. The simulation results of PSCAD software show that the method is effective for various fault types in distribution network with distributed generation, and is still possible to provide effective fault section and accurate fault location in case of information loss.

Original languageEnglish
Title of host publicationProceedings - 10th China International Conference on Electricity Distribution
Subtitle of host publicationInnovative Distribution Systems for Carbon Neurality, CICED 2022
PublisherIEEE Computer Society
Pages1361-1365
Number of pages5
ISBN (Electronic)9781665452687
DOIs
StatePublished - 2022
Event10th China International Conference on Electricity Distribution, CICED 2022 - Changsha, China
Duration: 7 Sep 20228 Sep 2022

Publication series

NameChina International Conference on Electricity Distribution, CICED
Volume2022-September
ISSN (Print)2161-7481
ISSN (Electronic)2161-749X

Conference

Conference10th China International Conference on Electricity Distribution, CICED 2022
Country/TerritoryChina
CityChangsha
Period7/09/228/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • PMU
  • distribution network
  • fault location
  • information loss
  • optimization method

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