A comprehensive review of intelligent islanding schemes and feature selection techniques for distributed generation system
Detection of unintentional islanding, defined as inadvertently separation of distributed
generators (DGs) from the utility grid, is a major challenging issue for modern distribution …
generators (DGs) from the utility grid, is a major challenging issue for modern distribution …
A Review of Islanding Detection Techniques for Inverter-Based Distributed Generation
MW Jalil, W Ishtiaque, A Arif - Engineering Proceedings, 2023 - mdpi.com
The classical problem of islanding detection in distributed generation falls into the commonly
used categories known as passive, active, and hybrid techniques. These approaches vary in …
used categories known as passive, active, and hybrid techniques. These approaches vary in …
[HTML][HTML] Islanding detection scheme using potential energy function based criterion
M Tajdinian, H Khosravi, H Samet, ZM Ali - Electric Power Systems …, 2022 - Elsevier
Owning to the extensive enhancement of renewable energy resources in the distribution
grids, the employment of such sources has also introduced various issues, such as the …
grids, the employment of such sources has also introduced various issues, such as the …
Islanding detection and classification of non-islanding disturbance in multi-distributed generation power system using deep neural networks
This paper proposes a statistical feature-based deep neural network (S-DNN) islanding
detection technique and classification of non-islanding disturbances for hybrid systems with …
detection technique and classification of non-islanding disturbances for hybrid systems with …
An intelligent deep convolutional neural networks-based islanding detection for multi-DG systems
Unintentional islanding is a problem in electrical distribution networks; it happens when the
central utility is unintentionally separated from the rest of the distributed power system. The …
central utility is unintentionally separated from the rest of the distributed power system. The …
Machine learning-based multiclass anomaly detection and classification in hybrid active distribution networks
Anomaly detection in power systems is crucial for operational reliability and safety, often
addressed through binary classification in existing research. However, a research gap exists …
addressed through binary classification in existing research. However, a research gap exists …
[HTML][HTML] A communication-less islanding detection scheme for hybrid distributed generation systems using recurrent neural network
The proposed scheme in this research paper is a communication-less islanding detection
system based on recurrent neural network (RNN) for hybrid distributed generator (DG) …
system based on recurrent neural network (RNN) for hybrid distributed generator (DG) …
Two terminal instantaneous power-based fault classification and location techniques for transmission lines
Transmission lines are an important part of the power system, as they are the carriers of
power from one end to another. In the event of a fault, the power transferring process is …
power from one end to another. In the event of a fault, the power transferring process is …
基于LightGBM 算法的光伏并网系统孤岛检测及其集成的可解释研究.
朱春霖， 余成波 - Electric Power Automation Equipment …, 2023 - search.ebscohost.com
针对智能孤岛检测方法欠缺对数据集划分过程中标签分布不均问题的考虑,
以及该领域尚未对复杂智能孤岛检测模型的决策进行可解释性分析, 提出了一种基于轻梯度提升 …
以及该领域尚未对复杂智能孤岛检测模型的决策进行可解释性分析, 提出了一种基于轻梯度提升 …
Fault detection of UHV converter valve based on optimized cost-sensitive extreme random forest
F Xiong, C Cao, M Tang, Z Wang, J Tang, J Yi - Energies, 2022 - mdpi.com
Aiming at the problem of unbalanced data categories of UHV converter valve fault data, a
method for UHV converter valve fault detection based on optimization cost-sensitive extreme …
method for UHV converter valve fault detection based on optimization cost-sensitive extreme …