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

RVPN
Esfahan Electricity Power Distribution Company
Tishreen University
Hawassa University
Jai Narain Vyas University, Jodhpur
Khalifa University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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
Subtitle of host publication	46th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	2531-2536
Number of pages	6
ISBN (Electronic)	9781728154145
DOIs	https://doi.org/10.1109/IECON43393.2020.9254764
Publication status	Published - 18 Oct 2020
Externally published	Yes
Event	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore Duration: 19 Oct 2020 → 21 Oct 2020

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2020-October

Conference

Conference	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/Territory	Singapore
City	Virtual, Singapore
Period	19/10/20 → 21/10/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Hilbert Transform
Hybrid power system
Stockwell Transform
solar energy
wind energy

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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 Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 2531-2536). Article 9254764 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October). IEEE Computer Society. 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: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2020. pp. 2531-2536 (IECON Proceedings (Industrial Electronics Conference)).

@inproceedings{ad2242b602b54e4ab388de3e4016163f,

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, Stockwell Transform, solar energy, 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 = "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 = "English",

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

publisher = "IEEE Computer Society",

pages = "2531--2536",

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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 Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society., 9254764, IECON Proceedings (Industrial Electronics Conference), vol. 2020-October, IEEE Computer Society, pp. 2531-2536, 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, Virtual, 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: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2020. p. 2531-2536 9254764 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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

PY - 2020/10/18

Y1 - 2020/10/18

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 - Stockwell Transform

KW - solar energy

KW - wind energy

UR - https://www.scopus.com/pages/publications/85097742535

U2 - 10.1109/IECON43393.2020.9254764

DO - 10.1109/IECON43393.2020.9254764

M3 - Conference contribution

AN - SCOPUS:85097742535

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 2531

EP - 2536

BT - Proceedings - IECON 2020

PB - IEEE Computer Society

T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020

Y2 - 19 October 2020 through 21 October 2020

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 Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society. 2020. p. 2531-2536. 9254764. (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

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this