An adaptive P-f droop approach for micro-grid transition detection

Hasna Al Seiari, Ala A. Hussein, H. H. Zeineldin

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

4 Citations (Scopus)

Abstract

Islanding detection methods have been proposed for inverter based distributed generation (DG) with grid connected capability only. Micro-grids are composed of DGs that are capable of operating in two modes: grid connected and islanded. This paper introduces and proposes the concept of micro-grid transition detection where the status of the micro-grid is detected based on adaptively modifying the droop slope. The droop coefficient is chosen such that the micro-grid is stable while grid connected, but unstable as soon as an islanded micro-grid operation is initiated. The droop coefficient is adaptively modified, once the micro-grid shifts from grid connected to islanded operation, to stabilize the micro-grid for the islanded mode of operation. The proposed micro-grid transition detection method is tested on a micro-grid equipped with inverter based DGs controlled using the droop approach.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Industrial Technology, ICIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages570-574
Number of pages5
ISBN (Electronic)9781509053209
DOIs
Publication statusPublished - Apr 26 2017
Externally publishedYes
Event2017 IEEE International Conference on Industrial Technology, ICIT 2017 - Toronto, Canada
Duration: Mar 23 2017Mar 25 2017

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Other

Other2017 IEEE International Conference on Industrial Technology, ICIT 2017
Country/TerritoryCanada
CityToronto
Period3/23/173/25/17

Keywords

  • Distributed Generators
  • Inverters
  • Islanding Detection
  • Micro-grids

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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