Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system

Om Prakash Mahela; Ehsan Heydarian-Forushani; Hassan Haes Alhelou; Baseem Khan; Akhil Ranjan Garg; Ameena Saad Al-Sumaiti

doi:10.1109/IECON43393.2020.9254764

Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system

Om Prakash Mahela, Ehsan Heydarian-Forushani, Hassan Haes Alhelou, Baseem Khan, Akhil Ranjan Garg, Ameena Saad Al-Sumaiti

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
Editors	Xing Zhu, Daswin de Silva
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2531-2536
Number of pages	6
ISBN (Electronic)	9781728154145, 9781728154138
ISBN (Print)	9781728154152
DOIs	https://doi.org/10.1109/IECON43393.2020.9254764
Publication status	Published - 2020
Externally published	Yes
Event	Annual Conference of the IEEE Industrial Electronics Society 2020 - Virtual, Singapore, Singapore Duration: 19 Oct 2020 → 21 Oct 2020 Conference number: 46th https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/9254213/proceeding (Proceedings)

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Publisher	Institute of Electrical and Electronics Engineers, Inc.
Volume	2020-October
ISSN (Print)	1553-572X
ISSN (Electronic)	2577-1647

Conference

Conference	Annual Conference of the IEEE Industrial Electronics Society 2020
Abbreviated title	IECON 2020
Country/Territory	Singapore
City	Singapore
Period	19/10/20 → 21/10/20
Internet address	https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/9254213/proceeding (Proceedings)

Keywords

Hilbert Transform
Hybrid power system
solar energy
Stockwell Transform
wind energy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IECON43393.2020.9254764

Cite this

Mahela, O. P., Heydarian-Forushani, E., Alhelou, H. H., Khan, B., Garg, A. R., & Saad Al-Sumaiti, A. (2020). Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system. In X. Zhu, & D. de Silva (Eds.), Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 2531-2536). (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IECON43393.2020.9254764

Mahela, Om Prakash ; Heydarian-Forushani, Ehsan ; Alhelou, Hassan Haes et al. / Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system. Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. editor / Xing Zhu ; Daswin de Silva. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2020. pp. 2531-2536 (IECON Proceedings (Industrial Electronics Conference)).

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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.; Annual Conference of the IEEE Industrial Electronics Society 2020, IECON 2020 ; Conference date: 19-10-2020 Through 21-10-2020",

year = "2020",

doi = "10.1109/IECON43393.2020.9254764",

language = "English",

isbn = "9781728154152",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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editor = "Xing Zhu and {de Silva}, Daswin",

booktitle = "Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society",

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Mahela, OP, Heydarian-Forushani, E, Alhelou, HH, Khan, B, Garg, AR & Saad Al-Sumaiti, A 2020, Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system. in X Zhu & D de Silva (eds), Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2020-October, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2531-2536, Annual Conference of the IEEE Industrial Electronics Society 2020, Singapore, Singapore, 19/10/20. https://doi.org/10.1109/IECON43393.2020.9254764

Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system. / Mahela, Om Prakash; Heydarian-Forushani, Ehsan; Alhelou, Hassan Haes et al.
Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. ed. / Xing Zhu; Daswin de Silva. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 2531-2536 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system

AU - Mahela, Om Prakash

AU - Heydarian-Forushani, Ehsan

AU - Alhelou, Hassan Haes

AU - Khan, Baseem

AU - Garg, Akhil Ranjan

AU - Saad Al-Sumaiti, Ameena

N1 - Conference code: 46th

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Hilbert Transform

KW - Hybrid power system

KW - solar energy

KW - Stockwell Transform

KW - wind energy

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BT - Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society

A2 - Zhu, Xing

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PB - IEEE, Institute of Electrical and Electronics Engineers

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ER -

Mahela OP, Heydarian-Forushani E, Alhelou HH, Khan B, Garg AR, Saad Al-Sumaiti A. Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system. In Zhu X, de Silva D, editors, Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2020. p. 2531-2536. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON43393.2020.9254764

Combined Stockwell and Hilbert Transforms based technique for the detection of islanding events in hybrid power system

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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