This paper proposes a novel strategy to monitor and verify relay operations during disturbances. Neural network based fault detection (NNFD) algorithm and Synchronized sampling based fault location (S...
Factory The article proposes a comprehensive fault diagnosis and prediction model for the state of the relay protection system using the support vector
Factory Based on sectional and centralized-distributed wide-area relaying protection system architecture, a novel wide-area backup relaying protection
Factory Abstract For a long time, the fault diagnosis technology of relay protection consists of isolated cases and does not have a systematic method. The actual fault situation of the relay
Factory The present GE digital distance relays use phasor quantities developed by discrete Fourier transforms rather than instantaneous samples for the protection algorithms. It was decided to use a fault location
Factory The action characteristics of power system relay protection devices can well analyze whether the relevant actions are correct. An analysis method of relay protection action characteristics
Factory The combination of the two algorithms is expected to perform a more accurate fault analysis than conventional relays. This may provides the reference to monitor and verify the distance relay
Factory An improper functioning of systems related to stability of power systems and protective relays through circuit breakers remains a factor that jeopardizes the st
Factory Based on sectional and centralized-distributed wide-area relaying protection system architecture, a novel wide-area backup relaying protection algorithm is proposed in this paper.
Factory The incorrect operation of protective relays and circuit breakers will significantly compromise the safety and stability of power systems. To promptly
Factory This research provides a fault-tracking approach based on computer intelligence algorithms widely used in the establishment and the design of proper fault anomaly detection and analysis models and
Factory With the improvement of the sampling accuracy of relay protection, the function of fault analysis based on transient signal is applied. At the same time, with the improvement of CPU
Factory It is necessary to conduct research on fault diagnosis and relay protection technology to ensure the safe and stable operation of the power grid. Current research mostly focuses on
Factory However, the particularity of fault diagnosis of intelligent substation relay protection systems imposes greater demands on the adaptability and generalization ability of the model. Relay
Factory The article suggests a prediction and fault diagnosis model for relay protection system condition assessment that is based on the IAHP, SVM, IPSO,
Factory Then, to make the evaluation results more objective and accurate, machine learning algorithms including supervised multiple regression analysis, unsupervised k-means, and semi-supervised MD method
Factory Abstract—Analysis of faults and protective relay operations is crucial for understanding the fault clearing sequences. Today, this analysis is performed off line and mostly through manual inspection of
Factory The article proposes a comprehensive fault diagnosis and prediction model for the state of the relay protection system using the support vector machine, improved particle swarm
Factory The article suggests a prediction and fault diagnosis model for relay protection system condition assessment that is based on the IAHP, SVM, IPSO, and K-means clustering algorithm.
Factory In this approach, the protection algorithm calculates the value of the inductance from the relay location to the point of fault. The inductance to the fault was then used for both distance protection and as an
Factory Therefore, the hidden failure of relay protection has a great influence on the electric power system, so monitoring the hidden fault of the relay protection will become more and more important.
Factory This study focuses on the fault diagnosis of an intelligent substation relay protection system based on Transformer architecture and migration training model.
Factory This article proposes a relay protection fault diagnosis method based on deep learning, which improves the accuracy and efficiency of fault recognition by constructing a model combining convolutional
Factory Abstract—Relay misoperations play an important role in cascading events. This paper proposes a novel strategy to monitor and verify relay operations during disturbances. Neural network based fault
Factory In this paper, the analysis of various fault types of relay protection devices also provides an important guidance for the maintenance, design and improvement of devices. In this study, the
Factory This project aims to combine artificial intelligence theories and methods such as deep learning, machine learning, and data mining to study a new type of fault diagnosis and relay
Factory Finally, the power system relay protection based on machine learning algorithm is deeply studied, and the specific implementation method and implementation flow are designed. The machine learning
Factory This study introduces a new diagnostic framework that combines improved particle swarm optimization, K-means clustering algorithms, support
Factory Validation and diagnosis of relay operation is very important to protection engineers in fault analysis. This paper presents development of an expert system based automated analysis solution, which
Factory To protect the converters and minimize the power transmission interruption during dc line faults, it is necessary to detect the faults at ultra high speed for the modular multilevel converter (MMC)-based
Factory This paper analyzes the basic principle and function of relay protection, summarizes the common fault types, and analyzes the fault analysis methods and treatment measures combined with
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