Islanding detection for inverter-based DG coupled with using an adaptive neuro-fuzzy inference system

Hashemi, F.; Ghadimi, Noradin; Sobhani, Behrouz

doi:10.1016/j.ijepes.2012.09.008

Cited by 109 publications

(61 citation statements)

References 29 publications

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“…This technique has the advantage of detecting islanding independent of any threshold. The simulation results show that the NDZ of the proposed technique has been highly reduced to almost zero, and the problem of setting thresholds is also eliminated [134]. Another application of ANFIS in combination with discrete wavelet transform for islanding detection of inverter based DG is presented in [135].…”

Section: Adaptive Neuro Fuzzy Inference System (Anfis) Based Islandinmentioning

confidence: 99%

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Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review

Laghari

Mokhlis

Karimi

et al. 2014

Energy Conversion and Management

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Section: Adaptive Neuro Fuzzy Inference System (Anfis) Based Islandinmentioning

confidence: 99%

“…Hashemi et al [134] proposed ANFIS based islanding detection technique for inverter based DG. The technique used the rate of change of active power as input parameter, and applied it to ANFIS for distinguishing islanding event.…”

Section: Adaptive Neuro Fuzzy Inference System (Anfis) Based Islandinmentioning

confidence: 99%

Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review

Laghari

Mokhlis

Karimi

et al. 2014

Energy Conversion and Management

View full text Add to dashboard Cite

“…The advantage of ANFIS in reducing the NDZ and keeping the power quality unchanged is clearly demonstrated in [113,114]. A passive ID through classification of various indices like voltage, current, etc.…”

Section: Anfismentioning

confidence: 99%

Shifting of research trends in islanding detection method - a comprehensive survey

Dutta

Sadhu

Reddy

et al. 2018

Prot Control Mod Power Syst

116

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The augmentation in electricity demand, power system privatization as well as efficacy of renewable resources has paved the way for power system companies and researchers to exploit the field of grid connected distributed generation (DG) and its issues, islanding being a dominant one. Several research works have been conducted to mitigate the issues of islanding detection (ID). In context of this, the paper gives a comprehensive review of islanding issues, standard test systems, criteria and shifting of research trends in islanding detection methods (IDMs). The significant contributions pertain to categorization of IDMs, evaluation of non-detection zone (NDZ) for each test system, disquisition on evolution and advancement of IDMs and its comparisons based on criteria such as NDZ, run on time, nuisance tripping percentage, applicability in multi DG system and implementation cost to draw out the strength and shortcomings of individual methods that will come to aid to the companies or researchers for establishing the applicability and appropriateness of such method for their concerned domain.

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“…In [69], a novel integrated diagnostic system was developed for islanding detection using a neuro-fuzzy model for grid-tied inverter-based DGs. In [69], an adaptive neuro-fuzzy inference system was used for islanding detection.…”

Section: Classification Of Mfis Based On Control Techniquesmentioning

confidence: 99%

Review of Multifunctional Inverter Topologies and Control Schemes Used in Distributed Generation Systems

Teke¹,

Latran²

2014

Journal of Power Electronics

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Recent developments in power electronics technology have spurred interest in the use of renewable energy sources as distributed generation (DG) generators. The key component in DG generators is a grid-connected inverter that serves as an effective interface between the renewable energy source and the utility grid. The multifunctional inverter (MFI) is special type of grid-connected inverter that has elicited much attention in recent years. MFIs not only generate power for DGs but also provide increased functionality through improved power quality and voltage and reactive power support; thus, the capability of the auxiliary service for the utility grid is improved. This paper presents a comprehensive review of the various MFI system configurations for single-phase (two-wire) and three-phase (three-or four-wire) systems and control strategies for the compensation of different power quality problems. The advances in practical applications and recent research on MFIs are presented through a review of nearly 200 papers.

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Islanding detection for inverter-based DG coupled with using an adaptive neuro-fuzzy inference system

Cited by 109 publications

References 29 publications

Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review

Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review

Shifting of research trends in islanding detection method - a comprehensive survey

Review of Multifunctional Inverter Topologies and Control Schemes Used in Distributed Generation Systems

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