@inproceedings{44ddbc700fc44bbbb7ceedd7dc733526,
title = "Combined Stockwell and Hilbert Transforms Based Technique for the Detection of Islanding Events in Hybrid Power System",
abstract = "This paper presents a technique using hybrid features extracted from current signals using Stockwell and Hilbert Transforms for detecting the islanding events and operational events of renewable energy generators and loads. The study is performed on a hybrid power system test network incorporating wind and solar power generators. Results are computed using MATLAB/Simulink software for a variety of case studies. Through the applied technique islanding events are successfully identified and discriminated from operational events.",
keywords = "Hilbert Transform, Hybrid power system, solar energy, Stockwell Transform, wind energy",
author = "Mahela, \{Om Prakash\} and Ehsan Heydarian-Forushani and Alhelou, \{Hassan Haes\} and Baseem Khan and Garg, \{Akhil Ranjan\} and \{Saad Al-Sumaiti\}, Ameena",
note = "Funding Information: ACKNOWLEDGMENT This research work is supported by Khalifa University, Abu Dhabi, UAE under award number-FSU-2018-25. Publisher Copyright: {\textcopyright} 2020 IEEE.; 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 ; Conference date: 19-10-2020 Through 21-10-2020",
year = "2020",
month = oct,
day = "18",
doi = "10.1109/IECON43393.2020.9254764",
language = "British English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
pages = "2531--2536",
booktitle = "Proceedings - IECON 2020",
address = "United States",
}
