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Journal ArticleDOI

A review of islanding detection techniques for renewable distributed generation systems

TLDR
A survey of various islanding detection techniques and their advantages and disadvantages is presented in this article, where a conventional and intelligent technique is used to detect islanding of distributed generations (DGs).
Abstract
Islanding detection of distributed generations (DGs) is one of the most important aspects of interconnecting DGs to the distribution system. Islanding detection techniques can generally be classified as remote methods, which are associated with islanding detection on the utility sides, and local methods, which are associated with islanding detection on the DG side. This paper presents a survey of various islanding detection techniques and their advantages and disadvantages. The paper focused on islanding detection using a conventional and intelligent technique. A summary table that compares and contrasts the existing methods is also presented.

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Citations
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Journal ArticleDOI

AC and DC technology in microgrids: A review

TL;DR: In this article, the authors present a tool for selecting a suitable configuration of a microgrid adapted to the needs in each situation, and provide a picture of the current situation of microgrids, and identifies and proposes future research lines.
Journal ArticleDOI

Hybrid ac/dc microgrids—Part I: Review and classification of topologies

TL;DR: In this paper, the most interesting topologies of hybrid ac/dc microgrids based on the interconnection of the ac and dc networks and the conventional power network are discussed.
Journal ArticleDOI

A review of islanding detection methods for microgrid

TL;DR: In this article, performance indices and critical technique problems of islanding detection methods are discussed, and several performance indices, such as non-detection zone (NDZ), detection time, error detection ratio and power quality, are evaluated.
Journal ArticleDOI

Hybrid ac/dc microgrids—Part II: Review and classification of control strategies

TL;DR: In this article, the authors identify and analyze the control strategies that can be implemented in hybrid microgrids for an adequate power management in grid-tied and islanded modes of operation.
Journal ArticleDOI

Allocation of distributed generation units in electric power systems: A review

TL;DR: In this article, the existing research works on DG allocation problem are reviewed from viewpoint of their used optimisation algorithms, objectives, decision variables, DG type, applied constraints and kind of uncertainty modelling.
References
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Journal ArticleDOI

On Estimation of a Probability Density Function and Mode

TL;DR: In this paper, the problem of the estimation of a probability density function and of determining the mode of the probability function is discussed. Only estimates which are consistent and asymptotically normal are constructed.
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Microgrids research: A review of experimental microgrids and test systems

TL;DR: A review of existing microgrid test networks around the world (North America, Europe and Asia) and some significantly different microgrid simulation networks present in the literature is presented in this paper.
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An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current

TL;DR: In this article, the authors proposed two new parameters for detecting islanding operation of distributed generation units: voltage unbalance and total harmonic distortion of current, which can effectively detect the islanding conditions and swiftly disconnect DG from distribution network.
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Wavelet-based neural network for power disturbance recognition and classification

TL;DR: Various transient events tested, such as momentary interruption, capacitor switching, voltage sag/swell, harmonic distortion, and flicker show that the proposed wavelet-based neural-network classifier can detect and classify different power disturbance types efficiently.
Journal ArticleDOI

Theory and applications of neural networks for industrial control systems

TL;DR: The theory and the applications of artificial neural networks, especially in a control field, are described and recurrent networks and feedforward networks are discussed.
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