A secured, reliable and accurate unplanned island detection method in a renewable energy based microgrid

Soham Dutta; Sachin Olla; Pradip Kumar Sadhu

doi:10.1016/j.jestch.2021.01.015

A secured, reliable and accurate unplanned island detection method in a renewable energy based microgrid

Soham Dutta^*
, Sachin Olla
, Pradip Kumar Sadhu

^*Corresponding author for this work

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

33 Citations (Scopus)

Abstract

The paper proposes an unplanned island detection method in a microgrid with micro phasor measurement unit (μPMU). The μPMU extracts certain features, by using multi domain nature of discrete fractional Fourier transform, from measured voltage data and feeds it to a random forest classifier model to make decision of island or fault occurrence. The method was tested on an IEEE 34 node distribution network. The results show that the method is robust, reliable, cost effective and increases situational awareness. The proposed method has 99.8% accuracy, 99.89% security, 98.11% reliability, zero non detection zone and detection time of 49 ms.

Original language	English
Pages (from-to)	1102-1115
Number of pages	14
Journal	Engineering Science and Technology, an International Journal
Volume	24
Issue number	5
DOIs	https://doi.org/10.1016/j.jestch.2021.01.015
Publication status	Published - 10-2021

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

Electronic, Optical and Magnetic Materials
Civil and Structural Engineering
Biomaterials
Mechanical Engineering
Hardware and Architecture
Fluid Flow and Transfer Processes
Computer Networks and Communications
Metals and Alloys

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10.1016/j.jestch.2021.01.015

Cite this

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title = "A secured, reliable and accurate unplanned island detection method in a renewable energy based microgrid",

abstract = "The paper proposes an unplanned island detection method in a microgrid with micro phasor measurement unit (μPMU). The μPMU extracts certain features, by using multi domain nature of discrete fractional Fourier transform, from measured voltage data and feeds it to a random forest classifier model to make decision of island or fault occurrence. The method was tested on an IEEE 34 node distribution network. The results show that the method is robust, reliable, cost effective and increases situational awareness. The proposed method has 99.8\% accuracy, 99.89\% security, 98.11\% reliability, zero non detection zone and detection time of 49 ms.",

author = "Soham Dutta and Sachin Olla and Sadhu, \{Pradip Kumar\}",

note = "Publisher Copyright: {\textcopyright} 2021 Karabuk University",

year = "2021",

month = oct,

doi = "10.1016/j.jestch.2021.01.015",

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AU - Dutta, Soham

AU - Olla, Sachin

AU - Sadhu, Pradip Kumar

PY - 2021/10

Y1 - 2021/10

N2 - The paper proposes an unplanned island detection method in a microgrid with micro phasor measurement unit (μPMU). The μPMU extracts certain features, by using multi domain nature of discrete fractional Fourier transform, from measured voltage data and feeds it to a random forest classifier model to make decision of island or fault occurrence. The method was tested on an IEEE 34 node distribution network. The results show that the method is robust, reliable, cost effective and increases situational awareness. The proposed method has 99.8% accuracy, 99.89% security, 98.11% reliability, zero non detection zone and detection time of 49 ms.

AB - The paper proposes an unplanned island detection method in a microgrid with micro phasor measurement unit (μPMU). The μPMU extracts certain features, by using multi domain nature of discrete fractional Fourier transform, from measured voltage data and feeds it to a random forest classifier model to make decision of island or fault occurrence. The method was tested on an IEEE 34 node distribution network. The results show that the method is robust, reliable, cost effective and increases situational awareness. The proposed method has 99.8% accuracy, 99.89% security, 98.11% reliability, zero non detection zone and detection time of 49 ms.

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JO - Engineering Science and Technology, an International Journal

JF - Engineering Science and Technology, an International Journal

IS - 5

ER -

A secured, reliable and accurate unplanned island detection method in a renewable energy based microgrid

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

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