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

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

doi:10.1109/ICIT.2017.7915421

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 proceeding › Conference contribution

3 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 language	English
Title of host publication	2017 IEEE International Conference on Industrial Technology, ICIT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	570-574
Number of pages	5
ISBN (Electronic)	9781509053209
DOIs	https://doi.org/10.1109/ICIT.2017.7915421
Publication status	Published - Apr 26 2017
Externally published	Yes
Event	2017 IEEE International Conference on Industrial Technology, ICIT 2017 - Toronto, Canada Duration: Mar 23 2017 → Mar 25 2017

Other

Other	2017 IEEE International Conference on Industrial Technology, ICIT 2017
Country/Territory	Canada
City	Toronto
Period	3/23/17 → 3/25/17

Keywords

Distributed Generators
Inverters
Islanding Detection
Micro-grids

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/ICIT.2017.7915421

Cite this

Seiari, HA, Hussein, AA & Zeineldin, HH 2017, An adaptive P-f droop approach for micro-grid transition detection. in 2017 IEEE International Conference on Industrial Technology, ICIT 2017., 7915421, Institute of Electrical and Electronics Engineers Inc., pp. 570-574, 2017 IEEE International Conference on Industrial Technology, ICIT 2017, Toronto, Canada, 3/23/17. https://doi.org/10.1109/ICIT.2017.7915421

@inproceedings{d9135bf1aab0479dad22c61e467d1fc0,

title = "An adaptive P-f droop approach for micro-grid transition detection",

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.",

keywords = "Distributed Generators, Inverters, Islanding Detection, Micro-grids",

author = "Seiari, {Hasna Al} and Hussein, {Ala A.} and Zeineldin, {H. H.}",

year = "2017",

month = apr,

day = "26",

doi = "10.1109/ICIT.2017.7915421",

language = "English",

pages = "570--574",

booktitle = "2017 IEEE International Conference on Industrial Technology, ICIT 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2017 IEEE International Conference on Industrial Technology, ICIT 2017 ; Conference date: 23-03-2017 Through 25-03-2017",

}

TY - GEN

T1 - An adaptive P-f droop approach for micro-grid transition detection

AU - Seiari, Hasna Al

AU - Hussein, Ala A.

AU - Zeineldin, H. H.

PY - 2017/4/26

Y1 - 2017/4/26

N2 - 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.

AB - 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.

KW - Distributed Generators

KW - Inverters

KW - Islanding Detection

KW - Micro-grids

UR - http://www.scopus.com/inward/record.url?scp=85019618968&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85019618968&partnerID=8YFLogxK

U2 - 10.1109/ICIT.2017.7915421

DO - 10.1109/ICIT.2017.7915421

M3 - Conference contribution

AN - SCOPUS:85019618968

SP - 570

EP - 574

BT - 2017 IEEE International Conference on Industrial Technology, ICIT 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Industrial Technology, ICIT 2017

Y2 - 23 March 2017 through 25 March 2017

ER -

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

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this