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A Passive Islanding Detection Approach for Inverter-based Distributed Generation Systems Using Rate of Change of Frequency Analysis

  • Georgia Southern University

Research output: Contribution to book or proceedingConference articlepeer-review

45 Scopus citations

Abstract

Islanding occurs when a Distributed Generation (DG) source continues to energize an isolated section of a power system even after it was disconnected from the main power grid. Since islanding can cause hazardous conditions to people and equipment, current utility standards require that islanding be quickly detected by protective relays and inverters that are parts of the DG system. Passive islanding detection techniques, unlike their active counterparts, monitor system parameters without injecting any disturbance into the grid. Although widely used, passive detection techniques are not very effective in detecting islanding especially in cases where there is small power mismatch and they also may trigger false detection in some non-islanding cases. To address these drawbacks, a novel and effective passive islanding detection technique that conforms to standard regulations has been presented in this paper the proposed detection technique is based on monitoring the oscillations in the Rate of Change of Frequency (ROCOF) measured at the Point of Common Coupling (PCC) in the system the proposed detection technique was developed and tested on a grid connected photovoltaic DG system using simulation. Results indicated that this technique was not only capable of detecting islanding when it occurs but also able to accurately distinguish between islanding and non-islanding under a wide range of operating conditions.

Original languageEnglish
Title of host publicationIEEE SoutheastCon 2015 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
EditionJune
ISBN (Electronic)9781467373005
DOIs
StatePublished - Jun 24 2015
EventIEEE SoutheastCon 2015 - Fort Lauderdale, United States
Duration: Apr 9 2015Apr 12 2015

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
NumberJune
Volume2015-June
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

ConferenceIEEE SoutheastCon 2015
Country/TerritoryUnited States
CityFort Lauderdale
Period04/9/1504/12/15

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

Scopus Subject Areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing

Keywords

  • Anti-Islanding
  • Distributed Generation
  • Islanding Detection
  • Passive islanding detection
  • Power system protection
  • Rate of change of frequency
  • Smart Grid

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