Review, analysis, and performance evaluation of the most common four active methods for islanding detection in grid-connected photovoltaic systems

Barkat, Fadila; Cheknane, Ali; Guerrero, Josep M.; Lashab, Abderezak; Istrate, Marcel; Gavrilaș, Mihai; Motas, Justina G.; Banu, Ioan Viorel

doi:10.1016/j.epsr.2022.108909

Cited by 18 publications

(5 citation statements)

References 103 publications

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“…In most international standards, the fundamental concept of islanding detection for the connected ADG grid is comparable. For the most common parameters that are under consideration in islanding detection, all consider the same factors, such as the quality factor, detection time, voltage/frequency thresholds, and network frequency [54]. The number of the aforementioned criteria, however, may vary.…”

Section: Standardization Of Islanding Detection Methodsmentioning

confidence: 99%

An Extensive Overview of Islanding Detection Strategies of Active Distributed Generations in Sustainable Microgrids

et al. 2023

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Active distributed generations (ADGs) are more prevalent near consumer premises. However, the ADG penetration contribute a lot of dynamic changes in power distribution networks which cause different protection and control issues. Islanding is one of the crucial problems related to such ADGs; on the other hand, islanding detection is also a challenging aspect. Therefore, an extensive review of islanding real-time depiction and islanding detection strategies (IDS) is provided in this work. Initially, the focus is on islanding detection concept depiction, islanding detection standardization, benchmark test systems for IDS validation, and software/tools and an analysis of their pros and cons. Then, the detailed classification of IDSs is presented with an emphasis on remote and local methods. Passive, active, and hybrid can be used further to categorize local IDSs. Moreover, the statistical comparative analysis of the IDSs based on the non-detection-zone (NDZ), cost-effectiveness, and false operation are mentioned. The research gap and loopholes in the existing work based on limitations in the existing work are presented. Finally, the paper is concluded with detailed recommendations.

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Section: Standardization Of Islanding Detection Methodsmentioning

confidence: 99%

An Extensive Overview of Islanding Detection Strategies of Active Distributed Generations in Sustainable Microgrids

et al. 2023

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“…Besides all these points, such microgrids need to be subjected to further research. The literature offers several ways for the detection of islanding, which can be categorized into passive, active, and communications-based techniques [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Ref.…”

Section: Introductionmentioning

confidence: 99%

“…Communications-based solutions encompass a wide range of communication technologies that can be utilized to establish smart grid infrastructures. Each technology possesses its distinct advantages and disadvantages [2,15,17,18,20,24]. Hybrid techniques have a small Non-Detection Zone (NDZ) and perturbation is introduced only when islanding is suspected [19].…”

Section: Introductionmentioning

confidence: 99%

Percentage of Islanding and Peninsulating Detection in ‎Large Microgrids with Renewable Energy Resources ‎with Multiple Connection Points to Different Grids

Darvish Kermani,

Fayazi,

Barati

et al. 2024

JGERI

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“…Several of the anti-islanding protections based on threshold definition pose serious difficulties in appropriately defining the correct calibration thresholds to ensure proper operation [14,15]. Improper setting of anti-islanding protection increases the likelihood of false tripping of the DERs.…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

Seguin Batadi,

Martínez,

Molina

2024

Energies

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The risk of unintentional islanding creation in distributed energy systems poses a significant security concern since unintentional islanding formation could lead to a supply of energy outside of the optimal quality limits. This constitutes a risk for users, maintenance personnel, infrastructure, and devices. To mitigate this problem, anti-islanding protections are widely used to prevent the distributed generator from feeding a portion of the radial distribution grid when a protection device trips upstream. However, the effectiveness of these protections heavily relies on properly tuning protection setting thresholds (such as time delay and pickup). This work proposes a novel approach that utilizes entropy as a model and metric of the uncertainty associated with a particular protection setting. By minimizing entropy, the proposed method aims to improve stability and sensitivity, consequently improving the overall performance of anti-islanding protection. Simulation results demonstrate that the Bayesian entropy methodology (BEM) approach achieves enhanced stability in various scenarios, including frequency transients, and demonstrates a notable reduction in the size of the dataset and computational burden, ranging between 91% and 98%, when compared to related works, with an improvement of the uncertainty achieved. The findings of this study contribute to the development of more robust and reliable anti-islanding protections.

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Review, analysis, and performance evaluation of the most common four active methods for islanding detection in grid-connected photovoltaic systems

Cited by 18 publications

References 103 publications

An Extensive Overview of Islanding Detection Strategies of Active Distributed Generations in Sustainable Microgrids

An Extensive Overview of Islanding Detection Strategies of Active Distributed Generations in Sustainable Microgrids

Percentage of Islanding and Peninsulating Detection in ‎Large Microgrids with Renewable Energy Resources ‎with Multiple Connection Points to Different Grids

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

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