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Estimation of Islanding Events in Utility Distribution Grid with Renewable Energy Using Current Variations and Stockwell Transform

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Estimation of Islanding Events in Utility Distribution Grid with Renewable Energy Using Current Variations and Stockwell Transform. / Mahela, Om Prakash; Sharma, Yagya; Ali, Shoyab; Khan, Baseem; Padmanaban, Sanjeevikumar.

I: IEEE Access, Bind 9, 05.2021, s. 69798-69813.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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Mahela, Om Prakash ; Sharma, Yagya ; Ali, Shoyab ; Khan, Baseem ; Padmanaban, Sanjeevikumar. / Estimation of Islanding Events in Utility Distribution Grid with Renewable Energy Using Current Variations and Stockwell Transform. I: IEEE Access. 2021 ; Bind 9. s. 69798-69813.

Bibtex

@article{6c533840b52c481181866481a24e12bb,
title = "Estimation of Islanding Events in Utility Distribution Grid with Renewable Energy Using Current Variations and Stockwell Transform",
abstract = "This research work has designed an algorithm to identify islanding events using the current signals in a distribution grid interfaced with renewable energy (RE) sources situated in remote areas. A median-based islanding recognition factor (MIRF) is designed by processing the current signal using Stockwell transform (ST). A current rate of change of islanding recognition factor (CRCIRF) is computed by differentiating the root mean square (RMS) current concerning time. The MIRF and CRCIRF are multiplied element by element to calculate the current-based islanding recognition factor (IRFC) used to recognize islanding events and non-islanding events. Simple decision rules are used to discriminate Islanding events from the faulty and the operational events by comparing peak magnitude of IRFC with pre-set threshold values. This IDM effectively recognizes islanding events in the presence of noise with 10 dB signal-to-noise ratio (SNR) level. The performance of IDM is established on a practical distribution feeder. Developed work is executed in MATLAB/Simulink. ",
keywords = "Distribution grid, islanding event, renewable energy, Stockwell transform",
author = "Mahela, {Om Prakash} and Yagya Sharma and Shoyab Ali and Baseem Khan and Sanjeevikumar Padmanaban",
note = "Publisher Copyright: {\textcopyright} 2013 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = may,
doi = "10.1109/ACCESS.2021.3078315",
language = "English",
volume = "9",
pages = "69798--69813",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers",

}

RIS

TY - JOUR

T1 - Estimation of Islanding Events in Utility Distribution Grid with Renewable Energy Using Current Variations and Stockwell Transform

AU - Mahela, Om Prakash

AU - Sharma, Yagya

AU - Ali, Shoyab

AU - Khan, Baseem

AU - Padmanaban, Sanjeevikumar

N1 - Publisher Copyright: © 2013 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/5

Y1 - 2021/5

N2 - This research work has designed an algorithm to identify islanding events using the current signals in a distribution grid interfaced with renewable energy (RE) sources situated in remote areas. A median-based islanding recognition factor (MIRF) is designed by processing the current signal using Stockwell transform (ST). A current rate of change of islanding recognition factor (CRCIRF) is computed by differentiating the root mean square (RMS) current concerning time. The MIRF and CRCIRF are multiplied element by element to calculate the current-based islanding recognition factor (IRFC) used to recognize islanding events and non-islanding events. Simple decision rules are used to discriminate Islanding events from the faulty and the operational events by comparing peak magnitude of IRFC with pre-set threshold values. This IDM effectively recognizes islanding events in the presence of noise with 10 dB signal-to-noise ratio (SNR) level. The performance of IDM is established on a practical distribution feeder. Developed work is executed in MATLAB/Simulink.

AB - This research work has designed an algorithm to identify islanding events using the current signals in a distribution grid interfaced with renewable energy (RE) sources situated in remote areas. A median-based islanding recognition factor (MIRF) is designed by processing the current signal using Stockwell transform (ST). A current rate of change of islanding recognition factor (CRCIRF) is computed by differentiating the root mean square (RMS) current concerning time. The MIRF and CRCIRF are multiplied element by element to calculate the current-based islanding recognition factor (IRFC) used to recognize islanding events and non-islanding events. Simple decision rules are used to discriminate Islanding events from the faulty and the operational events by comparing peak magnitude of IRFC with pre-set threshold values. This IDM effectively recognizes islanding events in the presence of noise with 10 dB signal-to-noise ratio (SNR) level. The performance of IDM is established on a practical distribution feeder. Developed work is executed in MATLAB/Simulink.

KW - Distribution grid

KW - islanding event

KW - renewable energy

KW - Stockwell transform

UR - http://www.scopus.com/inward/record.url?scp=85107212627&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2021.3078315

DO - 10.1109/ACCESS.2021.3078315

M3 - Journal article

AN - SCOPUS:85107212627

VL - 9

SP - 69798

EP - 69813

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -