Spectral Kurtosis-Based Island Detection Technique

Sikander Singh; Soham Dutta; Sourav Kumar Sahu; Pradip Kumar Sadhu

doi:10.1007/978-981-15-7675-1_70

Spectral Kurtosis-Based Island Detection Technique

Sikander Singh
, Soham Dutta^*
, Sourav Kumar Sahu
, Pradip Kumar Sadhu

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

The increasing rate of energy demand in the recent times is unprecedented and it is driving the increasing demand of renewable distributed generations in distribution system on a large scale. This significantly brings uncertainty to grid operation. Inadvertent islanding of microgrid is a major issue in today’s smart distribution grid. An efficient islanding detection technique is introduced in this paper for a renewable distributed generation-based microgrid. A micro-phasor measurement unit (µPMU) is employed as an islanding detection device. Spectral kurtosis (SK) of negative sequence angle of voltage signals is employed for detecting islanding instants. The implementation is demonstrated in an IEEE 34 node test feeder simulated in MATLAB/Simulink software.

Original language	English
Title of host publication	Advances in Smart Grid Automation and Industry 4.0 - Select Proceedings of ICETSGAI4.0
Editors	M. Jaya Reddy, Dusmanta Kr. Mohanta, Deepak Kumar, Debomita Ghosh
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	699-706
Number of pages	8
ISBN (Print)	9789811576744
DOIs	https://doi.org/10.1007/978-981-15-7675-1_70
Publication status	Published - 2021
Event	International Conference on Emerging Trends for Smart Grid Automation and Industry, ICETSGAI4.0 2019 - Ranchi, India Duration: 05-12-2019 → 07-12-2019

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	693 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Emerging Trends for Smart Grid Automation and Industry, ICETSGAI4.0 2019
Country/Territory	India
City	Ranchi
Period	05-12-19 → 07-12-19

UN SDGs

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

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-15-7675-1_70

Cite this

Singh, S., Dutta, S., Sahu, S. K., & Sadhu, P. K. (2021). Spectral Kurtosis-Based Island Detection Technique. In M. J. Reddy, D. K. Mohanta, D. Kumar, & D. Ghosh (Eds.), Advances in Smart Grid Automation and Industry 4.0 - Select Proceedings of ICETSGAI4.0 (pp. 699-706). (Lecture Notes in Electrical Engineering; Vol. 693 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-7675-1_70

Singh, Sikander ; Dutta, Soham ; Sahu, Sourav Kumar et al. / Spectral Kurtosis-Based Island Detection Technique. Advances in Smart Grid Automation and Industry 4.0 - Select Proceedings of ICETSGAI4.0. editor / M. Jaya Reddy ; Dusmanta Kr. Mohanta ; Deepak Kumar ; Debomita Ghosh. Springer Science and Business Media Deutschland GmbH, 2021. pp. 699-706 (Lecture Notes in Electrical Engineering).

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title = "Spectral Kurtosis-Based Island Detection Technique",

abstract = "The increasing rate of energy demand in the recent times is unprecedented and it is driving the increasing demand of renewable distributed generations in distribution system on a large scale. This significantly brings uncertainty to grid operation. Inadvertent islanding of microgrid is a major issue in today{\textquoteright}s smart distribution grid. An efficient islanding detection technique is introduced in this paper for a renewable distributed generation-based microgrid. A micro-phasor measurement unit (µPMU) is employed as an islanding detection device. Spectral kurtosis (SK) of negative sequence angle of voltage signals is employed for detecting islanding instants. The implementation is demonstrated in an IEEE 34 node test feeder simulated in MATLAB/Simulink software.",

author = "Sikander Singh and Soham Dutta and Sahu, \{Sourav Kumar\} and Sadhu, \{Pradip Kumar\}",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; International Conference on Emerging Trends for Smart Grid Automation and Industry, ICETSGAI4.0 2019 ; Conference date: 05-12-2019 Through 07-12-2019",

year = "2021",

doi = "10.1007/978-981-15-7675-1\_70",

language = "English",

isbn = "9789811576744",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "699--706",

editor = "Reddy, \{M. Jaya\} and Mohanta, \{Dusmanta Kr.\} and Deepak Kumar and Debomita Ghosh",

booktitle = "Advances in Smart Grid Automation and Industry 4.0 - Select Proceedings of ICETSGAI4.0",

address = "Germany",

}

Singh, S, Dutta, S, Sahu, SK & Sadhu, PK 2021, Spectral Kurtosis-Based Island Detection Technique. in MJ Reddy, DK Mohanta, D Kumar & D Ghosh (eds), Advances in Smart Grid Automation and Industry 4.0 - Select Proceedings of ICETSGAI4.0. Lecture Notes in Electrical Engineering, vol. 693 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 699-706, International Conference on Emerging Trends for Smart Grid Automation and Industry, ICETSGAI4.0 2019, Ranchi, India, 05-12-19. https://doi.org/10.1007/978-981-15-7675-1_70

Spectral Kurtosis-Based Island Detection Technique. / Singh, Sikander; Dutta, Soham; Sahu, Sourav Kumar et al.
Advances in Smart Grid Automation and Industry 4.0 - Select Proceedings of ICETSGAI4.0. ed. / M. Jaya Reddy; Dusmanta Kr. Mohanta; Deepak Kumar; Debomita Ghosh. Springer Science and Business Media Deutschland GmbH, 2021. p. 699-706 (Lecture Notes in Electrical Engineering; Vol. 693 LNEE).

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

TY - GEN

T1 - Spectral Kurtosis-Based Island Detection Technique

AU - Singh, Sikander

AU - Dutta, Soham

AU - Sahu, Sourav Kumar

AU - Sadhu, Pradip Kumar

PY - 2021

Y1 - 2021

N2 - The increasing rate of energy demand in the recent times is unprecedented and it is driving the increasing demand of renewable distributed generations in distribution system on a large scale. This significantly brings uncertainty to grid operation. Inadvertent islanding of microgrid is a major issue in today’s smart distribution grid. An efficient islanding detection technique is introduced in this paper for a renewable distributed generation-based microgrid. A micro-phasor measurement unit (µPMU) is employed as an islanding detection device. Spectral kurtosis (SK) of negative sequence angle of voltage signals is employed for detecting islanding instants. The implementation is demonstrated in an IEEE 34 node test feeder simulated in MATLAB/Simulink software.

AB - The increasing rate of energy demand in the recent times is unprecedented and it is driving the increasing demand of renewable distributed generations in distribution system on a large scale. This significantly brings uncertainty to grid operation. Inadvertent islanding of microgrid is a major issue in today’s smart distribution grid. An efficient islanding detection technique is introduced in this paper for a renewable distributed generation-based microgrid. A micro-phasor measurement unit (µPMU) is employed as an islanding detection device. Spectral kurtosis (SK) of negative sequence angle of voltage signals is employed for detecting islanding instants. The implementation is demonstrated in an IEEE 34 node test feeder simulated in MATLAB/Simulink software.

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U2 - 10.1007/978-981-15-7675-1_70

DO - 10.1007/978-981-15-7675-1_70

M3 - Conference contribution

AN - SCOPUS:85105867115

SN - 9789811576744

T3 - Lecture Notes in Electrical Engineering

SP - 699

EP - 706

BT - Advances in Smart Grid Automation and Industry 4.0 - Select Proceedings of ICETSGAI4.0

A2 - Reddy, M. Jaya

A2 - Mohanta, Dusmanta Kr.

A2 - Kumar, Deepak

A2 - Ghosh, Debomita

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Emerging Trends for Smart Grid Automation and Industry, ICETSGAI4.0 2019

Y2 - 5 December 2019 through 7 December 2019

ER -

Singh S, Dutta S, Sahu SK, Sadhu PK. Spectral Kurtosis-Based Island Detection Technique. In Reddy MJ, Mohanta DK, Kumar D, Ghosh D, editors, Advances in Smart Grid Automation and Industry 4.0 - Select Proceedings of ICETSGAI4.0. Springer Science and Business Media Deutschland GmbH. 2021. p. 699-706. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-15-7675-1_70

Spectral Kurtosis-Based Island Detection Technique

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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