With the development of social economy, it is of great significance to study the distribution network fault detection and positioning technology to improve the reliability of power supply. This
The performance of the proposed model in detecting faults is thoroughly evaluated across a wide range of fault resistances and various fault locations, demonstrating its effectiveness
Faults in power systems pose difficulties, highlighting the vital importance of fault identification and diagnosis. This review paper provides a concise overview of artificial...
This paper provides a comprehensive and systematic review of fault diagnosis methods based on artificial intelligence (AI) in smart distribution
Explore fault detection and isolation in electric power systems to enhance reliability and operational excellence.
The convolutional neural network was used to extract fault features from PRPD spectrums, and a partial discharge fault pattern recognition model with high accuracy was obtained. Verified by real
In this regard, this paper proposes a protection scheme based on Convolutional neural network (ConvNet) approach of deep learning for fault
Distributed energy generation increases the need for smart grid monitoring, protection, and control. Localization, classification, and fault detection are essential for addressing any problems
Fault detection is crucial in ensuring the safety and reliability of electrical systems. In this paper, we present a novel deep learning-based technique for the detection of faults in domestic electrical
Accurate identification of incipient cable fault is helpful to improve the reliability of power system. This paper proposes an incipient fault identification method for distribution networks cables
The insights offered herein are expected to provide practical guidance for engineers and researchers for selecting and deploying intelligent fault diagnosis strategies in future distribution
This paper provides a comprehensive and systematic review of fault diagnosis methods based on artificial intelligence (AI) in smart distribution
Incipient faults are normally char-acterized as the fault phenomena with the relatively low fault currents and the relatively short duration ranging from one-quarter cycle to multi-cycle. Traditional power
This paper presents a novel method of fault diagnosis by the use of fuzzy logic and neural network-based techniques for electric power fault detection, classification, and location in a power
The experimental results performed on a two-branch distribution line show the most optimal variant of PSO for short fault diagnosis.
This review paper provides the state of the art in arc fault detection, aiming to enhance safety and reliability in electrical distribution systems and guide future research efforts. Index Terms—Arc fault
This paper aims to provide a comprehensive review of AI-based approaches for fault detection and diagnosis in power distribution systems, highlighting the benefits, challenges, and potential for future
This research work focuses on the detection, identification, and location of faults in the distribution network of a power system. Fault detection is achieved by a fault analysis and the
In today''s era of uninterrupted electricity supply is facing significant challenges in fault detection, classification, and precise location of faults in power
Similarly, Ref. covers various conventional and artificial intelligence-based methods for fault location and detection techniques in a power distribution
Abstract In this study, a novel non-intrusive temperature rise fault-identification method for a distribution cabinet based on tensor block-matching is proposed. Two-stage data repair is used to
In this document, we define ten bolted fault classes, seven open phase fault classes, and seven high impedance fault classes, as well as defining two meta-classes: static faults and evolving faults. We
Intelligent distribution network is an important link to realize smart grid, but generally speaking, the wiring of distribution network is more complex and the fault signal is difficult to extract. A fault location
In this regard, an intelligent fault identification method for distribution power equipment based on 5G technology and association rules is proposed. By calculating the confidence degree of
In order to improve the reliability and maintainability of the control power cabinet in nuclear power plants, this paper takes IGBTs in the rod control
This review study is required to investigate the different algorithms implemented for distribution network faults detection methods in power systems
Newer generation sources and loads are posing new challenges to the conventional power system protection schemes. Adaptive and intelligent protection methodology, based on advanced
Identifying and locating the fault is one of the major tasks in constructing effective distribution automation (DA) for the smart grid. The integration of distributed generators at a large
Fault detection and classification play a vital role in ensuring the stability, reliability, and safety of modern power systems. Electrical power systems are complex and dynamic networks where even minor
To sum up, intelligent algorithm is likely to become an important technical means for fault positioning of distribution network in the future, and has important theoretical and research
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