Integration of hydrogen energy-based distributed generators (HEBDGs) to the main grid causes some power quality (PQ) problems. The conventional fault detection methods fail to detect some PQ disturbances, thus intelligent ...

In this paper, a new un-decimated wavelet transform (UWT)-based fault detection method is proposed to overcome the limitations of WT-based methods in real-time applications. For the first time, UWT method is used to detect ...

Automated fault detection methods (AFDMs) are required to provide a more reliable and stable power system operation and protection. The faults in distributed generators (DGs) connected to the grid must be cleared on time ...

Each country must determine the Grid Code conditions and apply these criteria to integrate distributed generation (DG) systems into the existing electricity grid and to ensure a stable power system. Thus, experimental ...

Artificial intelligence (AI) approaches are usually coupled with the wavelet transform (WT) for feature extraction to classify the power quality disturbances (PQDs). Therefore, selecting a useful WT-based signal processing ...

Machine learning-based fault detection methods are frequently combined with wavelet transform (WT) to detect an unintentional islanding condition. In contrast to this condition, these methods have long detection and ...

In this chapter, current methods used for fault ride-through (FRT) capability are examined by researching studies on the capacity of FRT in grid-connected photovoltaic (PV) systems after any failures. These methods have ...