Methods to Detect the Occurrence of an Unintentional Island with Passive Approach: A Review

Kulkarni, Nitin; Khedkar, Mohan

doi:10.1007/s40031-021-00595-5

Cited by 9 publications

(4 citation statements)

References 66 publications

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“…Ultimately, these methods, like classic methods, still rely on the definition of thresholds for their operation. For the existing passive methods in the literature, defining the correct thresholds is a complex task [44].…”

Section: Literature Review Of Islanding Detection Methodsmentioning

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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Section: Literature Review Of Islanding Detection Methodsmentioning

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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“…Execution expenses are high, particularly for small networks [74,75,[90][91][92][93][94] 1. Particular attention must be given while establishing thresholds [9,70].…”

Section: Consmentioning

confidence: 99%

“…Passive IDSs are also simple to utilize and do not degrade the quality of the power. The huge NDZ and challenges in threshold setting are disadvantages of passive IDSs [93]. Additionally, the passive IDSs are not always guaranteed, particularly in the load-source balance scenario.…”

mentioning

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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“…The active methods depend on certain perturbations and detect islanding due to variations during islanding conditions [8]. The hybrid techniques are compound effect of passive and active techniques [9]. The performance indices of some methods are shown in Table 2.…”

Section: (Iv) Power Qualitymentioning

confidence: 99%

Integrated Microgrid Islanding Detection with Phase Angle Difference for Reduced Nondetection Zone

Lingampalli

Kotamraju

Kumar

et al. 2023

International Journal of Energy Research

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Microgrids with distributed generation (DG) are rapidly coming into distribution networks to supply load demand in order to preserve ecological balance and reduce greenhouse gas emissions. Power electronic advancements are making renewables dispatchable to loads while turning passive networks to active with bidirectional power flow. The IEEE-1547-2018 regulations enforced certain standards on microgrids, including the ability to detect unintended failures, island the microgrid in less than 2 seconds, and feed connected loads while maintaining voltage, frequency, and power quality. There are numerous islanding techniques accessible, including passive, active, hybrid, and communication techniques. The active techniques degrade power quality due to injection of deviations, passive type leaves larger nondetection zone (NDZ), and communication type are costly. The hybrid type combines both passive and active methods. To get away from all these issues, a passive technique is formulated in this paper, which measures the differential phase angle of voltage and current at DG output, to detect islanding. This approach reliably identifies islanding in 20 ms at nearly zero NDZ. This approach is also stable during transient conditions such as load switching and throwing off. There is also no power quality issue because there are no injections during testing. This method is tested in MATLAB/Simulink and evaluated using the differential frequency technique to get performance indices in accordance with UL-1741 testing standards.

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Methods to Detect the Occurrence of an Unintentional Island with Passive Approach: A Review

Cited by 9 publications

References 66 publications

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

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

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

Integrated Microgrid Islanding Detection with Phase Angle Difference for Reduced Nondetection Zone

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