Fault Detection and Classification of DC Microgrid Utilizing Differential Protection Scheme

Chetan Srivastava, Manoj Tripathy, Li Wang

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

1 Citation (Scopus)

Abstract

The prompt fault recognition and isolation augment the grids' resiliency and improve its inclusive performance. A DC microgrid accomplishes solicitous attention worldwide due to the development of power electronic-based devices, its higher efficiency, and the advancement of various DC loads. The study reports the advantages and challenges associated with DC microgrid protection. Overcurrent-based relaying schemes can't provide such systems with the desired sensitivity and selectivity. The complexity in the protection strategy becomes prominent with ring-type DC systems, exclusively with high impedance faults. The study propounds a differential scheme to provide fast and reliable protection addressing the overcurrent relay limitations. A differential scheme may be a promising solution with improved data processing capacity and an advanced communication framework accessible in an available intelligent grid structure. The studied DC ring bus type microgrid is developed using PSCAD/EMTDC environment. The study tests the scheme's efficacy and finds it suitable for various instances, including different loading conditions and high impedance faults.

Original languageEnglish
Title of host publication2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-101
Number of pages6
ISBN (Electronic)9781665443579
DOIs
Publication statusPublished - 2022
Event1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022 - Virtual, Arad, Romania
Duration: 2022 May 202022 May 22

Publication series

Name2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022

Conference

Conference1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022
Country/TerritoryRomania
CityVirtual, Arad
Period22-05-2022-05-22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Instrumentation

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