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

Om Prakash Mahela; Yagya Sharma; Shoyab Ali; Baseem Khan; Sanjeevikumar Padmanaban

doi:10.1109/ACCESS.2021.3078315

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

Om Prakash Mahela
, Yagya Sharma
, Shoyab Ali
, Baseem Khan
, Sanjeevikumar Padmanaban

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

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.

Original language	English
Article number	9425551
Pages (from-to)	69798-69813
Number of pages	16
Journal	IEEE Access
Volume	9
DOIs	https://doi.org/10.1109/ACCESS.2021.3078315
Publication status	Published - 2021
Externally published	Yes

Keywords

Distribution grid
Stockwell transform
islanding event
renewable energy

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

UN SDGs

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

Access to Document

10.1109/ACCESS.2021.3078315

Cite this

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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, Stockwell transform, islanding event, renewable energy",

author = "Mahela, \{Om Prakash\} and Yagya Sharma and Shoyab Ali and Baseem Khan and Sanjeevikumar Padmanaban",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2021",

doi = "10.1109/ACCESS.2021.3078315",

language = "English",

volume = "9",

pages = "69798--69813",

journal = "IEEE Access",

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AU - Mahela, Om Prakash

AU - Sharma, Yagya

AU - Ali, Shoyab

AU - Khan, Baseem

AU - Padmanaban, Sanjeevikumar

PY - 2021

Y1 - 2021

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 - Stockwell transform

KW - islanding event

KW - renewable energy

UR - https://www.scopus.com/pages/publications/85107212627

U2 - 10.1109/ACCESS.2021.3078315

DO - 10.1109/ACCESS.2021.3078315

M3 - Article

AN - SCOPUS:85107212627

SN - 2169-3536

VL - 9

SP - 69798

EP - 69813

JO - IEEE Access

JF - IEEE Access

M1 - 9425551

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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