Boundary Detection and Enhancement Strategy for Power System Bus Bar Stabilization—Investigation under Fault Conditions for Islanding Operation

Pouryekta, Aref; Ramachandaramurthy, Vigna K.; Padmanaban, Sanjeevikumar; Blaabjerg, Frede; Guerrero, Josep M.

doi:10.3390/en11040889

Cited by 14 publications

(5 citation statements)

References 39 publications

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“…Local schemes are further classified into active and passive schemes. Active schemes are generally based on the concept of perturb and observe technique [22], where an external signal is injected into the system, which perturbs the DG output parameters up to a significant level upon islanding occurrence. Under the grid-connected operation, the injected signal is not significantly distorted, but an effective change is observed in the system under the islanding condition.…”

Section: Review Of Idmsmentioning

confidence: 99%

Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

et al. 2019

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The increased penetration of distributed generation (DG), renewable energy utilization, and the introduction of the microgrid concept have changed the shape of conventional electric power networks. Most of the new power system networks are transforming into the DG model integrated with renewable and non-renewable energy resources by forming a microgrid. Islanding detection in DG systems is a challenging issue that causes several protection and safety problems. A microgrid operates in the grid-connected or stand-alone mode. In the grid-connected mode, the main utility network is responsible for a smooth operation in coordination with the protection and control units, while in the stand-alone mode, the microgrid operates as an independent power island that is electrically separated from the main utility network. Fast islanding detection is, therefore, necessary for efficient and reliable microgrid operations. Many islanding detection methods (IdMs) are proposed in the literature, and each of them claims better reliability and high accuracy. This study describes a comprehensive review of various IdMs in terms of their merits, viability, effectiveness, and feasibility. The IdMs are extensively analysed by providing a fair comparison from different aspects. Moreover, a fair analysis of a feasible and economical solution in view of the recent research trend is presented.

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Section: Review Of Idmsmentioning

confidence: 99%

Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

et al. 2019

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“…Reference [4] entitled "Boundary Detection and Enhancement Strategy for Power System Bus Bar Stabilization-Investigation under Fault Conditions for Islanding Operation", by a group of authors, Pouryekta et al, from Malaysia and Denmark, proposed a novel scheme for the detection of island boundaries and stabilizing the system during autonomous operation. In the first stage, a boundary detection method was proposed to detect the configuration of the island.…”

Section: Review Of the Contributionsmentioning

confidence: 99%

“…The proposed special issue has invited submissions related to energy storage, power converters and e-drive systems for electrified transportation and smart grid [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. The particular topics of interest include: Integration of Internet of Things (IoT) into E-transportation.…”

Section: Introductionmentioning

confidence: 99%

Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid

Saponara

Mihet‐Popa

2019

Energies

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The special issue “Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid” on MDPI Energies presents 20 accepted papers, with authors from North and South America, Asia, Europe and Africa, related to the emerging trends in energy storage and power conversion electronic circuits and systems, with a specific focus on transportation electrification and on the evolution of the electric grid to a smart grid. An extensive exploitation of renewable energy sources is foreseen for smart grid as well as a close integration with the energy storage and recharging systems of the electrified transportation era. Innovations at both algorithmic and hardware (i.e., power converters, electric drives, electronic control units (ECU), energy storage modules and charging stations) levels are proposed.

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“…Hence, anti-islanding with fast response time is essential for a DG connected grid system [10,16]. To overcome the challenges from islanding DGs, researchers proposed a numerous model that deals with the consequences of intentional islanding, and clears it as fast as possible [11,12,[17][18][19][20][21][22][23][24][25][26][27][28][29]. Different organizations such as the IEEE, IEA and IEC also set the standards and were updated regularly to emphasize the importance of islanding detection in a DG connected grid, so that a DG connected system will operate smoothly [14,[30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Different Approaches for Islanding Detection of Distributed Generation Systems

Shrestha

Kattel

Dachhepatic

et al. 2019

ASI

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The issue of unintentional islanding in grid interconnection still remains a challenge in grid-connected, Distributed Generation System (DGS). This study discusses the general overview of popular islanding detection methods. Because of the various Distributed Generation (DG) types, their sizes connected to the distribution networks, and, due to the concern associated with out-of-phase reclosing, anti-islanding continues to be an issue, where no clear solution exists. The passive islanding detection technique is the simplest method to detect the islanding condition which compares the existing parameters of the system having some threshold values. This study first presents an auto-ground approach, which is based on the application of three-phase, short-circuit to the islanded distribution system just to reclose and re-energize the system. After that, the data mining-decision tree algorithm is implemented on a typical distribution system with multiple DGs. The results from both of the techniques have been accomplished and verified by determining the Non-Detection Zone (NDZ), which satisfies the IEEE standards of 2 s execution time. From the analysis, it is concluded that the decision tree approach is effective and highly accurate to detect the islanding state in DGs. These simulations in detail compare the old and new methods, clearly highlighting the progress in the field of islanding detection.

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Boundary Detection and Enhancement Strategy for Power System Bus Bar Stabilization—Investigation under Fault Conditions for Islanding Operation

Cited by 14 publications

References 39 publications

Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid

Comparative Study of Different Approaches for Islanding Detection of Distributed Generation Systems

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