@inproceedings{eb4509d2ca684b638e017dbdd8801842,
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.\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Industrial Technology, ICIT 2017 ; Conference date: 23-03-2017 Through 25-03-2017",
year = "2017",
month = apr,
day = "26",
doi = "10.1109/ICIT.2017.7915421",
language = "British English",
series = "Proceedings of the IEEE International Conference on Industrial Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "570--574",
booktitle = "2017 IEEE International Conference on Industrial Technology, ICIT 2017",
address = "United States",
}