As increasing numbers of Distributed Generation (DG) systems are connected to utility systems, distribution engineers are becoming increasingly interested in evaluating the risk of unintentional islanding. Utilities desire to keep their systems secure, while not imposing unreasonable burdens on customers wishing to connect DG. However, utility experience with these systems is still relatively s...

In this paper, we use experimental data collected from an Austin, Texas smart grid test bed with a system-level battery energy storage model to assess the lifetime of batteries in a microgrid operating in islanded mode during a distribution-level outage. We consider a hypothetical microgrid consisting of 21 single-family detached homes and three transformer-level community energy storage (CES) ...

This paper presents an investigation of different islanding detection techniques which focus on operating parameters. These parameters are to decide whether the system will be islanded or not. The process is based on measuring the voltage, frequency and phase angle at the point of common coupling. The rate of change must be integrated to distinguish the changes in the system, the rate of change...

This paper presents an artificial neural network (ANN) based method for islanding detection of distributed synchronous generators. The proposed method takes advantage of ANN as pattern classifiers. It is capable of identifying the islanding condition based on samples of the voltage waveform measured at the distributed generator terminals only, which is an important advantage over other ANN-base...

Islanding detection and prevention are involved in tandem with the rise of large- small-scale distribution grids. To detect islanded buses, either voltage or frequency variation has been considered literature. A modified passive islanding strategy that coordinates V-F (voltage–frequency) index was developed to reduce non-detection zones (NDZs), an operation is proposed this article. Voltage wer...