Performance Evaluation of IEC 61850 Communication Based Protection Scheme for Inverter Interfaced Microgrids

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

Abstract

The increasing penetration of inverter-interfaced distributed generators (DGs) in microgrids presents significant challenges for protection schemes. Numerous standardized, communication-based centralized protection schemes for microgrids have been proposed in the literature. However, the successful deployment of these schemes is critically dependent on the underlying communication framework. This paper evaluates the performance of an IEC 61850-based centralized protection scheme specifically designed for inverter-interfaced microgrids. Realistic R-GOOSE messages are generated based on the microgrid's IEC 61850 information model, and their impact in terms of communication latency for different communication technologies such as Ethernet, WiFi, Zigbee is investigated. The objective is to determine the effectiveness and applicability of this communication-based protection scheme in inverter-interfaced microgrids under different communication conditions.

Original languageEnglish
Title of host publication2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages494-498
Number of pages5
ISBN (Electronic)9798350395075
DOIs
StatePublished - 2024
Event2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024 - Kuching, Malaysia
Duration: 24 Nov 202427 Nov 2024

Publication series

Name2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024

Conference

Conference2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024
Country/TerritoryMalaysia
CityKuching
Period24/11/2427/11/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Delay
  • IEC 61850
  • Microgrid
  • Protection
  • R-GOOSE

ASJC Scopus subject areas

  • Transportation
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Modeling and Simulation
  • Energy Engineering and Power Technology

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