Use of Matrix-Pencil Method for Efficient Islanding Detection in Static DG and a Parallel Comparison With DWT Method

Agrawal, Sanjay; Patra, Sandipan; Mohanty, Soumya R.; Agarwal, Vineeta; Basu, Malabika

doi:10.1109/tie.2018.2878125

Cited by 18 publications

(6 citation statements)

References 40 publications

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“…The empirical mode decomposition (EMD) is also employed by several research works to detect islanding condition [71], [91]. This method decomposes the input signal into various mono-components which are known as meaningful intrinsic mode functions (IMFs) [92].…”

Section: Feature Extraction and Signal Processing Methodsmentioning

confidence: 99%

“…This method decomposes the input signal into various mono-components which are known as meaningful intrinsic mode functions (IMFs) [92]. However, this method suffers from various issues including computational complexity and mode mixing effect [71], [91]- [92]. To overcome these issues, time-varying filter-based EMD (TVF-EMD) is recommended by [71], [92].…”

Section: Feature Extraction and Signal Processing Methodsmentioning

confidence: 99%

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A Comprehensive Survey on Islanding Detection Methods of Synchronous Generator-Based Microgrids: Issues, Solutions and Future Works

Bekhradian

Sanaye‐Pasand

2022

IEEE Access

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Nowadays, the penetration of distributed generations (DGs) and microgrids (MGs) has been significantly increased due to the technical, social, environmental, and financial reasons. One of the most common types of DGs which is widely used in different networks is small-scale synchronous generators (SSSGs). Synchronous-based microgrids (SGBMGs) and SSSGs can operate under both grid-connected and islanded conditions. To guarantee a stable, uninterruptible, and safe autonomous operation, the unintentional islanding events should be quickly detected and then, appropriate control and precaution actions should be performed. Various islanding detection techniques have been proposed in the two past decades including remote and local methods. Meanwhile, local methods can be divided into two major groups, i.e. passive and active methods. To select the most suitable islanding detection scheme (IDS), various factors including the DG type and its technology should be considered. Therefore, the IDS for SGBMGs may be completely different from that for inverter-based microgrids. In this paper, the suitable IDS which can be practically applied to the SGBMGs are comprehensively investigated. To do so, at first, various suitable indices are introduced which can be properly employed by the system engineers and researchers to compare various IDS and select the most appropriate one. Then, various types of existing IDS are carefully investigated using these indices. Based on these investigations, it is concluded that local passive methods are more appropriate for SGBMGs due to their technical and economic benefits. Moreover, to enhance the existing IDS, some ideas are provided in this paper which can be considered in the future research works.INDEX TERMS Small-scale synchronous generator (SSSG), Synchronous generator-based microgrid (SGBMG), Islanding, Islanding detection.

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Section: Feature Extraction and Signal Processing Methodsmentioning

confidence: 99%

Section: Feature Extraction and Signal Processing Methodsmentioning

confidence: 99%

A Comprehensive Survey on Islanding Detection Methods of Synchronous Generator-Based Microgrids: Issues, Solutions and Future Works

Bekhradian

Sanaye‐Pasand

2022

IEEE Access

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“…[18] and [19] belonged to the passive methods, which measured the network impedance passively and employed the wavelet theory, respectively. It was noteworthy that due to the maturity of the theory of signal processing and artificial intelligence and widespread use in other fields, substantial passive methods employing them were emerging [20]- [22]. [23] was a remote method, which judged island events by means of the data collected by phasor measurement units.…”

Section: Introductionmentioning

confidence: 99%

A Solution to the Parameter Selection and Current Static Error Issues With Frequency Shift Islanding Detection Methods

Liu

Zhao

Wang

et al. 2021

IEEE Trans. Ind. Electron.

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“…The use of PCA alone results in the non-detection of IE during the perfect power balance condition [32]. However, signal processing methods can reduce NDZ significantly by capturing the tiniest variation and sensing hidden features in the measured signals [33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Synchrophasor based islanding detection for microgrids using moving window principal component analysis and extended mathematical morphology

Radhakrishnan

Ashok

Sunitha

2020

IET Renewable Power Generation

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Use of Matrix-Pencil Method for Efficient Islanding Detection in Static DG and a Parallel Comparison With DWT Method

Cited by 18 publications

References 40 publications

A Comprehensive Survey on Islanding Detection Methods of Synchronous Generator-Based Microgrids: Issues, Solutions and Future Works

A Comprehensive Survey on Islanding Detection Methods of Synchronous Generator-Based Microgrids: Issues, Solutions and Future Works

A Solution to the Parameter Selection and Current Static Error Issues With Frequency Shift Islanding Detection Methods

Synchrophasor based islanding detection for microgrids using moving window principal component analysis and extended mathematical morphology

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