Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform

Md Ismail Hossain; Mohammad Abido; Md Shafiul Alam; Md Shafiullah; Md Al Emran; Fakir Sharif Hossain

doi:10.1109/ICISET.2018.8745658

Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform

Md Ismail Hossain
, Mohammad Abido
, Md Shafiul Alam
, Md Shafiullah
, Md Al Emran
, Fakir Sharif Hossain

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

3 Scopus citations

Abstract

Low-frequency oscillation can lead to the instability of an interconnected power system. Some power systems around the world have already seen blackout incidents because of low-frequency oscillation. Hence, identification of the low-frequency oscillation is critical to the interconnected power system. Low-frequency oscillation mode can be identified from its eigenvalue. However, it requires a true model of the large complex power system and works on the linear model under certain operating condition. The recorded signal from Phasor measurement unit (PMU) is used to apply Continuous Wavelet Transform (CWT) to identify low-frequency oscillation without prior knowledge of the complex mathematical model of the large interconnected power system. Among wavelet families, Complex Morlet mother-wavelet function is used in this work to formulate the mathematical relationship between system ringdowns low-frequency oscillation modal information and the CWT. The magnitude and phase plot of the complex-valued wavelet coefficients yield mode of the recorded signal. In this paper oscillation signal from a two-area four-machine power system is measured and then analyzed using continuous wavelet transform (CWT) technique to obtain its modal information corresponding to inter-area mode of oscillation. Finally, the linear system analysis method is used to compare the result from the proposed technique.

Original language	English
Title of host publication	2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	299-304
Number of pages	6
ISBN (Electronic)	9781538685242
DOIs	https://doi.org/10.1109/ICISET.2018.8745658
State	Published - Oct 2018

Publication series

Name	2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Continuous Wavelet Transform
Eigenvalue
Inter-area oscillation
Linear Regression
Morlet Complex CWT

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Instrumentation
Computer Networks and Communications
Computer Science Applications
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/ICISET.2018.8745658

Cite this

Ismail Hossain, M., Abido, M., Shafiul Alam, M., Shafiullah, M., Al Emran, M., & Hossain, F. S. (2018). Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform. In 2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018 (pp. 299-304). Article 8745658 (2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICISET.2018.8745658

Ismail Hossain, Md ; Abido, Mohammad ; Shafiul Alam, Md et al. / Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform. 2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 299-304 (2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018).

@inproceedings{baa8df7a0685436891d22f0d523010b2,

title = "Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform",

abstract = "Low-frequency oscillation can lead to the instability of an interconnected power system. Some power systems around the world have already seen blackout incidents because of low-frequency oscillation. Hence, identification of the low-frequency oscillation is critical to the interconnected power system. Low-frequency oscillation mode can be identified from its eigenvalue. However, it requires a true model of the large complex power system and works on the linear model under certain operating condition. The recorded signal from Phasor measurement unit (PMU) is used to apply Continuous Wavelet Transform (CWT) to identify low-frequency oscillation without prior knowledge of the complex mathematical model of the large interconnected power system. Among wavelet families, Complex Morlet mother-wavelet function is used in this work to formulate the mathematical relationship between system ringdowns low-frequency oscillation modal information and the CWT. The magnitude and phase plot of the complex-valued wavelet coefficients yield mode of the recorded signal. In this paper oscillation signal from a two-area four-machine power system is measured and then analyzed using continuous wavelet transform (CWT) technique to obtain its modal information corresponding to inter-area mode of oscillation. Finally, the linear system analysis method is used to compare the result from the proposed technique.",

keywords = "Continuous Wavelet Transform, Eigenvalue, Inter-area oscillation, Linear Regression, Morlet Complex CWT",

author = "\{Ismail Hossain\}, Md and Mohammad Abido and \{Shafiul Alam\}, Md and Md Shafiullah and \{Al Emran\}, Md and Hossain, \{Fakir Sharif\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.",

year = "2018",

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doi = "10.1109/ICISET.2018.8745658",

language = "English",

series = "2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018",

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Ismail Hossain, M, Abido, M, Shafiul Alam, M, Shafiullah, M, Al Emran, M & Hossain, FS 2018, Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform. in 2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018., 8745658, 2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018, Institute of Electrical and Electronics Engineers Inc., pp. 299-304. https://doi.org/10.1109/ICISET.2018.8745658

Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform. / Ismail Hossain, Md; Abido, Mohammad; Shafiul Alam, Md et al.
2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 299-304 8745658 (2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018).

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

TY - GEN

T1 - Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform

AU - Ismail Hossain, Md

AU - Abido, Mohammad

AU - Shafiul Alam, Md

AU - Shafiullah, Md

AU - Al Emran, Md

AU - Hossain, Fakir Sharif

PY - 2018/10

Y1 - 2018/10

N2 - Low-frequency oscillation can lead to the instability of an interconnected power system. Some power systems around the world have already seen blackout incidents because of low-frequency oscillation. Hence, identification of the low-frequency oscillation is critical to the interconnected power system. Low-frequency oscillation mode can be identified from its eigenvalue. However, it requires a true model of the large complex power system and works on the linear model under certain operating condition. The recorded signal from Phasor measurement unit (PMU) is used to apply Continuous Wavelet Transform (CWT) to identify low-frequency oscillation without prior knowledge of the complex mathematical model of the large interconnected power system. Among wavelet families, Complex Morlet mother-wavelet function is used in this work to formulate the mathematical relationship between system ringdowns low-frequency oscillation modal information and the CWT. The magnitude and phase plot of the complex-valued wavelet coefficients yield mode of the recorded signal. In this paper oscillation signal from a two-area four-machine power system is measured and then analyzed using continuous wavelet transform (CWT) technique to obtain its modal information corresponding to inter-area mode of oscillation. Finally, the linear system analysis method is used to compare the result from the proposed technique.

AB - Low-frequency oscillation can lead to the instability of an interconnected power system. Some power systems around the world have already seen blackout incidents because of low-frequency oscillation. Hence, identification of the low-frequency oscillation is critical to the interconnected power system. Low-frequency oscillation mode can be identified from its eigenvalue. However, it requires a true model of the large complex power system and works on the linear model under certain operating condition. The recorded signal from Phasor measurement unit (PMU) is used to apply Continuous Wavelet Transform (CWT) to identify low-frequency oscillation without prior knowledge of the complex mathematical model of the large interconnected power system. Among wavelet families, Complex Morlet mother-wavelet function is used in this work to formulate the mathematical relationship between system ringdowns low-frequency oscillation modal information and the CWT. The magnitude and phase plot of the complex-valued wavelet coefficients yield mode of the recorded signal. In this paper oscillation signal from a two-area four-machine power system is measured and then analyzed using continuous wavelet transform (CWT) technique to obtain its modal information corresponding to inter-area mode of oscillation. Finally, the linear system analysis method is used to compare the result from the proposed technique.

KW - Continuous Wavelet Transform

KW - Eigenvalue

KW - Inter-area oscillation

KW - Linear Regression

KW - Morlet Complex CWT

UR - https://www.scopus.com/pages/publications/85069167466

U2 - 10.1109/ICISET.2018.8745658

DO - 10.1109/ICISET.2018.8745658

M3 - Conference contribution

AN - SCOPUS:85069167466

T3 - 2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018

SP - 299

EP - 304

BT - 2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Ismail Hossain M, Abido M, Shafiul Alam M, Shafiullah M, Al Emran M, Hossain FS. Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform. In 2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 299-304. 8745658. (2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018). doi: 10.1109/ICISET.2018.8745658

Low-Frequency Inter-Area Mode Detection in Power System using Continuous Wavelet Transform

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this