A new islanding detection algorithm for distributed generations interconnected with utility networks

Jang, Seong-Jae; Kim, K.H.

doi:10.1049/cp:20040188

Cited by 22 publications

(7 citation statements)

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“…The main advantage of this method is that it can effectively detect the islanding fault even in the presence of a small load change [58]. The detection time of this method is around 53 [ms].…”

Section: Voltage Unbalancementioning

confidence: 99%

Islanding Fault Detection in Microgrids—A Survey

Hosseinzadeh

Salmasi

2020

Energies

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This paper provides an overview of islanding fault detection in microgrids. Islanding fault is a condition in which the microgrid gets disconnected from the microgrid unintentionally due to any fault in the utility grid. This paper surveys the extensive literature concerning the development of islanding fault detection techniques which can be classified into remote and local techniques, where the local techniques can be further classified as passive, active, and hybrid. Various detection methods in each class are studied, and advantages and disadvantages of each method are discussed. A comprehensive list of references is used to conduct this survey, and opportunities and directions for future research are highlighted.

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Section: Voltage Unbalancementioning

confidence: 99%

Islanding Fault Detection in Microgrids—A Survey

Hosseinzadeh

Salmasi

2020

Energies

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“…Passive techniques are very cost effective, as they do not require large modifications in the protection system [51][52][53][54][55][56]. Few common passive technique include the rate of change of frequency [63][64][65], ratio of frequency variation to load variation [66,67], rate of change of output power [60], rate of change of frequency over power [66], voltage unbalance [68,69], change of source impedance [70], harmonic distortion [68,71], voltage magnitude variation [72] and impedance based method to provide interlocking ROCOF relay [73]. Fig.…”

Section: Passive Islanding Detection Techniquesmentioning

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

102

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“…Jang and Kim presented three papers starting in an algorithm improved successively which utilizes four system parameters voltage magnitude, frequency, phase, and total harmonic distortion (THD) of current for islanding detection. The method monitors changes in four parameters and detects islanding by logical rules [6][7][8]. During disturbances many system parameters change significantly.…”

Section: Introductionmentioning

confidence: 99%

Flexible Mode Control of Grid Connected Wind Energy Conversion System Using Wavelet

et al. 2015

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Small wind turbine systems offer services to critical loads during grid faults and also connected back to grid in normal condition. The connection of a wind energy conversion system to the grid requires a robust phase locked loop (PLL) and continuous monitoring of the grid conditions such as overvoltage, undervoltage, overfrequency, underfrequency, and grid outages. This paper describes a flexible control operation to operate a small wind turbine in both stand-alone mode via planned islanding and grid connected mode as well. In particular, a proper monitoring and control algorithm is required for transition between the modes. A wavelet based energy function is used for detection of grid disturbances as well as recovery of grid so that transition between the modes is made. To obtain good power quality LCL filter is used to reduce ripples. PLL is used for synchronization whenever mode changes from stand-alone to grid connected. Simulation results from a 10 kW wind energy conversion system are included to show the usefulness of the proposed methods. The control method is tested by generated gate pulses for single phase bridge inverter using field programmable gate array (FPGA).

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A new islanding detection algorithm for distributed generations interconnected with utility networks

Cited by 22 publications

References 0 publications

Islanding Fault Detection in Microgrids—A Survey

Islanding Fault Detection in Microgrids—A Survey

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

Flexible Mode Control of Grid Connected Wind Energy Conversion System Using Wavelet

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