A PMU-based Fault Location Identification Using Principal Component Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Accurate and rapid fault localization for transmission line faults is essential for power system protection and maintenance. In this paper, a PMU-based algorithm for locating transmission line faults is proposed. By employing Principal Component Analysis (PCA) method on line current time series data, fault region is firstly identified. The pre-fault and during-fault positive sequence voltage measurements are then utilized to estimate unknown bus voltages through least square method and therefore determine exact fault location within the fault region. Different fault resistances and four types of fault, namely, single line to ground fault, double line to ground fault, line to line fault and three-phase balanced faults are used to evaluate the effectiveness of the method on the IEEE 14-bus system as well as the IEEE 30-bus system. Additionally, the impact of noise on PMU measurements is investigated to assess the robustness of the proposed method.

Original languageEnglish (US)
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728119816
DOIs
StatePublished - Aug 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: Aug 4 2019Aug 8 2019

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2019-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
CountryUnited States
CityAtlanta
Period8/4/198/8/19

Keywords

  • Fault location
  • Phasor Measurement Units (PMUs)
  • Principal Component Analysis (PCA)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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  • Cite this

    Ma, R., & Eftekharnejad, S. (2019). A PMU-based Fault Location Identification Using Principal Component Analysis. In 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 [8974013] (IEEE Power and Energy Society General Meeting; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/PESGM40551.2019.8974013