An Efficient Protection and Control Schemes for IBDG system with Resistive Superconducting Current Limiter

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Abstract

Distributed generators (DGs) are heavily integrated with the power system network through the power electronic inverters. Such inverter based distributed generation (IBDG) system increases the vulnerability of the system due to faults. In this study, we develop a control and protection strategies of IBDG system employing superconducting fault current limiter (SFCL). The mathematical model of SFCL is developed based on transition period, fault occurring time, and maximum resistance during current limiting state. The detailed modeling for the SFCL, DG, voltage source inverter (VSI), and associated controllers is presented. In order to insert the limiting resistance dynamically during contingencies depending on critical current, SFCL is placed between the VSC and grid. The advantages of the proposed approach are manifolds: simplest control of system faults, and lossless operation during normal conditions. Several disturbances are applied in the system to see the positive impacts of the proposed approach. The comparative analytical results show that the protection approach well restricts the fault current within the tolerable range of the system and its converters.

Original languageEnglish
Title of host publication2021 5th International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665495226
DOIs
StatePublished - 2021

Publication series

Name2021 5th International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Fault protection
  • Inverter based distributed generator
  • Resistive superconducting current limiter
  • Voltage source inverter
  • and DC link voltage

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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