Comparative Assessment of Various Islanding Detection Methods for AC and DC Microgrid

Das, Pinku; Ghore, Shubham; Biswal, Monalisa

doi:10.1109/icpc2t48082.2020.9071520

Cited by 9 publications

(5 citation statements)

References 23 publications

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“…2. Many papers have reviewed the IDMs as [17]- [35], however, only few of them have considered the ID for microgrids operation. In the following sections, a wide range of existing IDMs along with their advantages and disadvantages for inverter-based (single & multi) are discussed.…”

Section: Classification Of Islanding Detection Methodsmentioning

confidence: 99%

A Comprehensive Review of Islanding Detection Methods for Distribution Systems

Naraghipour

Ahmed

Booth

2020

2020 9th International Conference on Renewable Energy Research and Application (ICRERA)

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The rapid increasing of Distributed Generators (DGs) in electric power system necessitate updating of the grid interconnection requirements, particularly with penetration of microgrids (MGs), which accelerate the transforming to decentralization of the networks. Accordingly, the fast detection of an unintentional islanding has a key role in the future energy scenarios, both for the DGs that operate in grid-connected mode and for the MGs with a reliable facility for transition into the island mode. This paper introduces a modified classification for islanding detection methods in literature, which categories them into single inverter-based, multi inverter-based, AC microgrid and DC microgrid. Also, the performance of inverter-based (single & multi) under a wide range of existing islanding detection methods (IDMs) is evaluated along with their advantages/disadvantages and considering which of them are able to work with AC MGs. Furthermore, IDMs for DC MGs are discussed.

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Section: Classification Of Islanding Detection Methodsmentioning

confidence: 99%

A Comprehensive Review of Islanding Detection Methods for Distribution Systems

Naraghipour

Ahmed

Booth

2020

2020 9th International Conference on Renewable Energy Research and Application (ICRERA)

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“…3,16,19,32,35,63,127 Table 4 illustrates the comparison of various IDMs based on their detection/operating time and computational burden. 3,21,32,35,104,117,124,128,144,156,171,188 In future advanced signal processing methods in combination with a machine-learning algorithm can lead to become a potential method for island detection. Hybrid IDMs would probably also be a more feasible choice, that would definitely increase the percentage of precision and quality of the current IDMs.…”

Section: Merits Demerits and Comparison Of Idmsmentioning

confidence: 99%

“…illustrates the comparison of various IDMs based on their detection/operating time and computational burden 3,21,32,35,104,117,124,128,144,156,171,188. 6 | CONCLUSION AND FUTURE SCOPEA comprehensive review of numerous IDMs along with classification and a brief introduction of each method are outlined in this paper that covers the research gap of ongoing research.…”

mentioning

confidence: 99%

A comprehensive review on intelligent islanding detection techniques for renewable energy integrated power system

Panigrahi

Bhuyan

Shukla

et al. 2021

Intl J of Energy Research

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Summary Renewable sources of energy are used extensively in the distribution grid to meet the need for growing electricity demand and to resolve the global heating crisis caused by traditional energy sources. They offer many advantages like better efficiency, power quality, and lower air pollution. One of the vital issues with these integrations is islanding condition arising due to the sudden disconnection of grid because of some abnormal situations; however, the distributed generation (DG) retains the power supply to the local loads. Thus, efficient detection of islanding and quick detachment of DG are vital to prevent failure of equipments, grid safety disruption, and risks to personnel safety. In this context, this article represents a comprehensive review of islanding issues and different islanding detection methods (IDMs) that provide a detailed assessment for filling the research gap and thereby highlights the various issues related to island detection. A broad classification of IDMs is established based on the conventional and modern techniques such as local (Active, Passive & Hybrid) and remote IDMs with their detailed illustrations including both intelligent and signal processing‐based IDMs. Comparison of various IDMs based on their merits, demerits, and various performance analysis including the non‐detection zone, detection time, quality factor, power quality, effect on a microgrid, implementation cost, and applicability in multi‐DG system is provided. Hence, this review will provide an insight for the new researchers interested in the area highlighting the different islanding detection techniques with their relative merits and demerits.

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“…Finally, the proposed technique can be compared also with remote‐based islanding recognition techniques, which can eliminate the NDZ completely. According to [11], the PLCC and SCADA systems have null NDZ and zero error detection ratio; however, the detection times are 200 ms for PLCC and 100–300 ms for SCADA under optimised conditions. This is at least 14 times slower than the worst detection time registered for the proposed MSVS (7 ms for case 1).…”

Section: Comparison With Other Ai Techniquesmentioning

confidence: 99%

“…In normal operation, the grid is transmitting continuously its status to the DPGS. However, when an islanded fault has occurred, the communication channel between the grid network and the DPGS is interrupted, and after a delay (< 2 s), the circuit breaker in the PCC is opened to disconnect the DPGS [11].…”

Section: Introductionmentioning

confidence: 99%

Modified Sandia voltage shift anti‐islanding scheme for distributed power generator systems

Vazquez

Vázquez

Femat

2020

IET power electron.

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This study presents an active anti‐islanding technique for distributed power generator systems. The proposed scheme is based on the Sandia voltage shift (SVS) technique, which is characterised by a small non‐detection zone (NDZ) and by an acceptable solution to the trade‐off between the output power quality and the effectiveness of islanding detection. The proposed technique has the advantage to improve the NDZ and to reduce the anti‐islanding detection times. This is due to the exponential‐product modification made in the positive feedback to inject current, thereby making the response faster than SVS. Additionally, a self‐adaptive gain is considered to achieve a low total harmonic distortion at different power levels. Moreover, the proposed scheme has been validated with theoretical and numerical analysis and experimental results. Finally, the behaviour and performance of the proposed technique are compared with other recent techniques.

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Comparative Assessment of Various Islanding Detection Methods for AC and DC Microgrid

Cited by 9 publications

References 23 publications

A Comprehensive Review of Islanding Detection Methods for Distribution Systems

A Comprehensive Review of Islanding Detection Methods for Distribution Systems

A comprehensive review on intelligent islanding detection techniques for renewable energy integrated power system

Modified Sandia voltage shift anti‐islanding scheme for distributed power generator systems

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