A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events

Om Prakash Mahela; Ramesh Gupta; Baseem Khan; P. Sanjeevikumar; Zbigniew Leonowicz; Sunita Choudhary; Hassan Haes Alhelou

doi:10.1109/EEEIC/ICPSEurope49358.2020.9160551

A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events

Om Prakash Mahela, Ramesh Gupta, Baseem Khan, P. Sanjeevikumar, Zbigniew Leonowicz, Sunita Choudhary, Hassan Haes Alhelou

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

3 Citations (Scopus)

Abstract

A technique is utilizing the voltage signal to detect Islanding events and operational incidents and also to discriminate the operational events from the islanding events is proposed in this manuscript. A test utility network designed in Simulink environment of MATLAB software is used for the proposed study. Voltage waveforms recorded at the Point of Common Coupling (PCC) of the test grid is decomposed by utilizes the Stockwell Transform, and complex S-matrix is extracted. A median of S-matrix is obtained and represented as ST-index, which is plotted with time. Further, voltage waveforms are decomposed with the aid of Hilbert Transform, and the absolute outcome is represented as H-index. Element to element multiplication of ST-index and H-index is performed, and the resulting index is represented as Islanding index. A threshold value is set for this index and magnitudes more significant than the threshold presents the presence of islanding and value below the threshold indicates the operational event.

Original language	English
Title of host publication	Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
Editors	Zhigniew Leonowicz
Publisher	IEEE Signal Processing Society
Publication date	Jun 2020
Pages	1-5
Article number	9160551
ISBN (Print)	978-1-7281-7456-3
ISBN (Electronic)	978-1-7281-7455-6
DOIs	https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160551
Publication status	Published - Jun 2020
Event	2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 - Madrid, Spain Duration: 9 Jun 2020 → 12 Jun 2020

Conference

Conference	2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
Country/Territory	Spain
City	Madrid
Period	09/06/2020 → 12/06/2020

Series	Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

Hilbert Transform
Hybrid power system
solar energy
Stockwell Transform
wind energy

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Mahela, O. P., Gupta, R., Khan, B., Sanjeevikumar, P., Leonowicz, Z., Choudhary, S., & Alhelou, H. H. (2020). A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events. In Z. Leonowicz (Ed.), Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 (pp. 1-5). Article 9160551 IEEE Signal Processing Society. https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160551

Mahela, Om Prakash ; Gupta, Ramesh ; Khan, Baseem et al. / A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events. Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020. editor / Zhigniew Leonowicz. IEEE Signal Processing Society, 2020. pp. 1-5 (Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020).

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title = "A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events",

abstract = "A technique is utilizing the voltage signal to detect Islanding events and operational incidents and also to discriminate the operational events from the islanding events is proposed in this manuscript. A test utility network designed in Simulink environment of MATLAB software is used for the proposed study. Voltage waveforms recorded at the Point of Common Coupling (PCC) of the test grid is decomposed by utilizes the Stockwell Transform, and complex S-matrix is extracted. A median of S-matrix is obtained and represented as ST-index, which is plotted with time. Further, voltage waveforms are decomposed with the aid of Hilbert Transform, and the absolute outcome is represented as H-index. Element to element multiplication of ST-index and H-index is performed, and the resulting index is represented as Islanding index. A threshold value is set for this index and magnitudes more significant than the threshold presents the presence of islanding and value below the threshold indicates the operational event.",

keywords = "Hilbert Transform, Hybrid power system, solar energy, Stockwell Transform, wind energy",

author = "Mahela, {Om Prakash} and Ramesh Gupta and Baseem Khan and P. Sanjeevikumar and Zbigniew Leonowicz and Sunita Choudhary and Alhelou, {Hassan Haes}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 ; Conference date: 09-06-2020 Through 12-06-2020",

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editor = "Zhigniew Leonowicz",

booktitle = "Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020",

publisher = "IEEE Signal Processing Society",

address = "United States",

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Mahela, OP, Gupta, R, Khan, B, Sanjeevikumar, P, Leonowicz, Z, Choudhary, S & Alhelou, HH 2020, A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events. in Z Leonowicz (ed.), Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020., 9160551, IEEE Signal Processing Society, Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020, pp. 1-5, 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020, Madrid, Spain, 09/06/2020. https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160551

A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events. / Mahela, Om Prakash; Gupta, Ramesh; Khan, Baseem et al.
Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020. ed. / Zhigniew Leonowicz. IEEE Signal Processing Society, 2020. p. 1-5 9160551 (Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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T1 - A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events

AU - Mahela, Om Prakash

AU - Gupta, Ramesh

AU - Khan, Baseem

AU - Sanjeevikumar, P.

AU - Leonowicz, Zbigniew

AU - Choudhary, Sunita

AU - Alhelou, Hassan Haes

PY - 2020/6

Y1 - 2020/6

N2 - A technique is utilizing the voltage signal to detect Islanding events and operational incidents and also to discriminate the operational events from the islanding events is proposed in this manuscript. A test utility network designed in Simulink environment of MATLAB software is used for the proposed study. Voltage waveforms recorded at the Point of Common Coupling (PCC) of the test grid is decomposed by utilizes the Stockwell Transform, and complex S-matrix is extracted. A median of S-matrix is obtained and represented as ST-index, which is plotted with time. Further, voltage waveforms are decomposed with the aid of Hilbert Transform, and the absolute outcome is represented as H-index. Element to element multiplication of ST-index and H-index is performed, and the resulting index is represented as Islanding index. A threshold value is set for this index and magnitudes more significant than the threshold presents the presence of islanding and value below the threshold indicates the operational event.

AB - A technique is utilizing the voltage signal to detect Islanding events and operational incidents and also to discriminate the operational events from the islanding events is proposed in this manuscript. A test utility network designed in Simulink environment of MATLAB software is used for the proposed study. Voltage waveforms recorded at the Point of Common Coupling (PCC) of the test grid is decomposed by utilizes the Stockwell Transform, and complex S-matrix is extracted. A median of S-matrix is obtained and represented as ST-index, which is plotted with time. Further, voltage waveforms are decomposed with the aid of Hilbert Transform, and the absolute outcome is represented as H-index. Element to element multiplication of ST-index and H-index is performed, and the resulting index is represented as Islanding index. A threshold value is set for this index and magnitudes more significant than the threshold presents the presence of islanding and value below the threshold indicates the operational event.

KW - Hilbert Transform

KW - Hybrid power system

KW - solar energy

KW - Stockwell Transform

KW - wind energy

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U2 - 10.1109/EEEIC/ICPSEurope49358.2020.9160551

DO - 10.1109/EEEIC/ICPSEurope49358.2020.9160551

M3 - Article in proceeding

AN - SCOPUS:85090416346

SN - 978-1-7281-7456-3

T3 - Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020

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BT - Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020

A2 - Leonowicz, Zhigniew

PB - IEEE Signal Processing Society

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Y2 - 9 June 2020 through 12 June 2020

ER -

Mahela OP, Gupta R, Khan B, Sanjeevikumar P, Leonowicz Z, Choudhary S et al. A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events. In Leonowicz Z, editor, Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020. IEEE Signal Processing Society. 2020. p. 1-5. 9160551. (Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020). doi: 10.1109/EEEIC/ICPSEurope49358.2020.9160551

A Voltage Based Technique Using Combined Features of Stockwell Transform and Hilbert Transform for Detection of Islanding Events

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Keywords

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